#How to Become a Tableau Developer?

[ayylovley]

can i get number 7 and 9 with eli jang 🥺

7. They start developing dirty thoughts about you 9. They’re obsessed after their first time with you

Once alone in his room, Eli made sure his door was locked. He just needed a few minutes, he needs to do something to himself right he just met you at the dinner party Vasco was throwing. It wasn’t his fault he found you so, enchanting. The fact that you could’ve talked to anyone else at that party and it was him that you seemed to not be able to leave alone.

But Eli definitely didn’t mind it, quite the opposite actually. He lets out a low groan and collapses onto the bed, thoughts consumed by the intoxicating vixen that he found you were. “(Y/N)… what are you doing to me?" He murmurs into the darkness, imagining all the desires he needs to explore with you.

Within left in his thoughts, the image of you just began appearing, with every shift of himself, the noise of his mattress creaking creating this imagination of how it'd sound if he had you underneath him.

Crying out for him, and making the bed creak so much louder.

Eli feels that phantom sensation of your body against his own as his mind runs wild, the creaking of the bed amplifying the vivid fantasy "Fuck..." He rasps out, hand slipping under the waistband of his shorts at the thought of feeling every inch of your surrender to him.

In this moment alone Eli succumbs fully to the desire burning within - stroking faster, lost in daydreams of your moans and the scent of your skin. Everyone oblivious to his self pleasure when his hand holds his girthy cock so hard his arms flexes. Picturing those eyes rolling back in ecstasy as he drives himself into you over and over, it spurs him on relentlessly

"Oh yes...just like that..." Eli groans aloud, the imagination of your imagined bodies colliding echoing through the quiet night air

It isn't long before his own climax hits hard, a throaty growl escaping him as he paints his chest white with release “Mmm, I'll have you screaming for more.” He promises the empty room, basking briefly in the afterglow before cleaning up and drifting into a satisfied sleep.

—

After Eli finally had you, he thinks about you a lot. Especially when he’s laying in his bed where he pounded you dumb. That night of made hardcore love did a number on him and it's left him slowly obsessed and longing.

Over the lonely nights spent without your warmth by his side, Eli finds himself increasingly consumed by thoughts - recounting every curve, touch and moan in vivid detail as he strokes his own yearning need beneath the sheets. Your ghostly presence seems to permeate every fiber of his being - an intoxicating obsession that has taken root deep within; each day stretching into the next until only the anticipation of seeing you again keeps him tethered to sanity.

He just knows that when he does, you’ll be back on your face down against his pillow and prepped with that ass up. Begging for more of him again, and again. It’s become his addiction.

The image conjured stirs an animalistic hunger within Eli; he can picture it all too vividly - he has you completely between his sheets - and the possessive protectiveness that grips him intensifies tenfold.

"Mine..."

He growls low under his breath at this mental tableau - a silent vow swirling through the stifling air of his room as day melts into night once more amidst their shared absence.

[constitutionalweasleymonarchy]

Sneak peek: The Pride of Burrough House, ch 27

Penelope took advantage of this time each day, before Constance awoke, to take her daily walk along the edges of Hyde Park when the rest of society were absent. It was almost tranquil, in its own way, with those who were out going about their own business, without the omnipresent scrutiny of genteel passersby. London could feel so immense and so very small at the same time.

The skies carried the promise of a clear day, though the early morning fog still hung low in the air, softening the tableau and making Hyde Park appear even more expansive and solitary.

Penelope was not especially solitary by nature, however; and whilst she didn’t care to draw any attention to herself in particular, her station in life now made her so unremarkable, invisible, a nonentity — and this was only highlighted by the crush of town life.

Still, despite her breeding, she’d developed a habit in town of keeping her head ducked a bit lower than she’d been taught, as if she might actually be able to hide within the depths of her bonnet.

“Miss Dawlish.”

Penelope looked up to see a figure, rounding the corner of Charles Street, hailing her as she was just about to return to the Averys’ home. It seemed her attempts to be nondescript had no effect on Percy Weasley.

“Mr Weasley,” she replied, a little breathless, both from her walk and from surprise. She slowed, brushing a wayward bit of hair out of her eyes as he drew nearer. “It’s very early.”

“I was just thinking the same. What errand can require your attention at this time?”

“It’s a good time for a walk.” She smiled at his dubious expression. “Town hours don’t agree with me, I’m afraid.”

“No, I can understand that.” Percy focused a second too long on the way her cheeks had become rosy in the cooler morning air. “You walk every day?”

She nodded.

“Are you trying to catch a chill?” he asked with a note of censure. Her pelisse didn’t look particularly warm.

“Hardly! It’s summertime.”

“It’s seven in the morning.”

Penelope smiled at him in a way absolutely nobody else did whenever he decided to nose into their business and tell them how to live.

“Well, I promise you it doesn’t bother me,” she assured him.

“I suspect it will bother you when you’re inevitably taken ill.”

“Would satisfy you if I promise to bring a shawl with me, in future?”

Percy paused. This was absolutely none of his business.

“It would,” he replied.

“Then I promise.”

After that, on frequent occasion, Percy began arriving at Lord Avery’s residence around the same time that Penelope was due to return from her walk. Obviously, the timing was entirely coincidental.

[oxford-garments]

How This Central African City Became the World’s Most Expensive

S & M GOALS TEAMPLATE

Stretch Goals: Central African Republic Ranks Top 8 in FIFA World Rankings for Men's and Top 5 for Futsal

Micro Goals: All Time Laureus World Sports Awards Winner for Africans, Laureus Team Award, All Time African Footballer of the Year, AFCON Host Nation Champion*, African Transfer Record*,  Insead and WSJ Conferences*, Jeune Afrique Cover*, Verified LinkedIn Member*, and Agriculture Startup Reality TV

CAPÔI HABITANT CURRENCY MODEL

Pigou Effect, Corporate Tax Havens, Capital Gains Tax Havens, Private-Public Sectors, Joint Venture Plantations, Market Extension Mergers, with Business Incubators, and Enterprise Foundation, Holding Company, Subsidiaries, and Horizontal Integration for Monopoly.

A currency union (also known as monetary union) is an intergovernmental agreement that involves two or more states sharing the same currency. These states may not necessarily have any further integration (such as an economic and monetary union, which would have, in addition, a customs union and a single market). [Pigou Effect Currency (Short FX), Currency Board Currency (Retirement Fixed Exchange Rate), Market Currency (FX Long Currency)]

Gross national product (GNP) GNP is related to another important economic measure called gross domestic product (GDP), which takes into account all output produced within a country's borders regardless of who owns the means of production. GNP starts with GDP, adds residents' investment income from overseas investments, and subtracts foreign residents' investment income earned within a country. Whilst GDP measures the total value of goods and services produced within a country's borders, GNP focuses on the income generated by its residents, regardless of their location.

Gross National Income (GNI) is the total amount of money earned by a nation's people and businesses. It is used to measure and track a nation's wealth from year to year. The number includes the nation's gross domestic product (GDP) plus the income it receives from overseas sources.

Agriculture Central Hedge Fund, Mining Unions: Peninsula Agronomique Engineering, Commodities Options Exchange (Credit Spread Options, Farm REITs, Crop Production; Fertelizers and Seeds; Equipment; Distribution and Processing Stocks, Ag ETFs and ETNs, Ag Mutual Funds), Tableau Économiques, Investments Farms REITs, Art Financing Mardi Gras

Index Franc: Tobacco-Tobacco Soil Index/Franc Tabac Currency Pair (TBS/TAF)

The overlapping generations (OLG) model; consumption-based capital asset pricing model (CCAPM); Endogenous growth theory; Material balance planning; Leontief paradox; Malinvestment; Helicopter money; Modern monetary theory

Mercantilism Spectrum of CDF/CFA

CDF Raw Materials and CFA Products. (Prices); CDF Holding Company and CFA Conglomerate Company. (Equity and Dividend Yield); CDF is Gold Standard and CFA is Helicopter Money. (FX Rate/Hedging); CDF Helicopter Money [Supplier Currency] and CFA as Purchasing Power [Consumer Currency] (Currency Union & Currency Board and Negative Interest Rates); CDF is Congolese Franc and CFA is Central African Franc

DOS SANTOS FREE-ROLE

Supporting Striker (Inverted Winger)

Central Winger (False 10)

Overlapping Run/Defensive Winger (Half-winger)

An inverted winger is a modern tactical development of the traditional winger position. Most wingers are assigned to either side of the field based on their footedness, with right-footed players on the right and left-footed players on the left.[65] This assumes that assigning a player to their natural side ensures a more powerful cross as well as greater ball protection along the touch-lines. However, when the position is inverted and a winger instead plays inside-out on the opposite flank (i.e., a right-footed player as a left inverted winger), they effectively become supporting strikers and primarily assume a role in the attack.[66]

The "false 10" or "central winger"[55] is a type of midfielder, which differs from the trequartista. Much like the "false 9", their specificity lies in the fact that, although they seemingly play as an attacking midfielder on paper, unlike a traditional playmaker who stays behind the striker in the centre of the pitch, the false 10's goal is to move out of position and drift wide when in possession of the ball to help both the wingers and fullbacks to overload the flanks. This means two problems for the opposing midfielders: either they let the false 10 drift wide, and their presence, along with both the winger and the fullback, creates a three-on-two player advantage out wide; or they follow the false 10, but leave space in the centre of the pitch for wingers or onrushing midfielders to exploit. False 10s are usually traditional wingers who are told to play in the centre of the pitch, and their natural way of playing makes them drift wide and look to provide deliveries into the box for teammates.

In Italian football, the term mezzala (literally "half-winger" in Italian) is used to describe the position of the one or two central midfielders who play on either side of a holding midfielder and/or playmaker. The term was initially applied to the role of an inside forward in the WM and Metodo formations in Italian, but later described a specific type of central midfielder. The mezzala is often a quick and hard-working attack-minded midfielder, with good skills and noted offensive capabilities, as well as a tendency to make overlapping attacking runs, but also a player who participates in the defensive aspect of the game, and who can give width to a team by drifting out wide; as such, the term can be applied to several different roles.

On occasion, the false-10 can also function in a different manner alongside a false-9, usually in a 4–6–0 formation. Midfield collective of False 9, False 10, Box to Box, Holding, Half Winger, Attacking, Defensive. We are not stretching the defensive line itsself, but the space between the defensive line and the goalkeeper.

Thiago Motta’s ‘Super Offensive’ 2-7-2 Formation Explained: Instead of the traditional way of looking at a tactical set-up horizontally, the Brazil-born manager instead split the field into three vertical lanes. This means he effectively has seven players in the central channel with two players out wide on each flank.

Adjust Free Role System to The Scoreboard.

The Central African Games was an international multi-sport event for countries within Central Africa. (Boxing, Athletics, Tennis, Football, Rallycross, Olympic Weightlifting, Volleyball, Trap Shooting, Basketball)

The Central African Football Federations' Union, officially abbreviated as UNIFFAC[a], is a sports governing body representing the football associations of Central Africa.

RUSSE NOIR FOOTBALL

VEDETTE: 3-4-1-2 has 4 Pivot Formations so 5 Total: Transition to a 4-4-2 Diamond, Transition to a 4-4-2, Transition to a 4-2-3-1, Transition to a 3-3-1-3

Positional Game is Diamonds Tic-Tac-Toe with Enforcer and Avoider. Striker [Enforcer](Inverted Winger and Centre Forward), Deep Lying Playmaker [Avoider] (Holding Midfielder and Inverted Winger), and Sweeper Wingback Deep Lying Playmaker [Avoider] (Centre Back). Use Playing Styles, Manipulated Positions, and Combinational Games for Positional Play as Johan Cruyff students.

Angolan 4-4-2 Diamond Tic Tac Toe Variant: 1-3-4-2; (1) Falar Pelos Cotovelos (Sweeper Deep-lying Playmaker Wingback) (4) Diamond Rover (Diamond Rotation from Midfield, Wings, and Defensive Third) Counterpressing Pivot Pressing Triggers, Sweeper-Winger Pivots, Overlapping Runs, W; I; M; V; Box Keeping Formation with 3 Centre-Backs) [Key Stats: Front Foot, Pressing Triggers, Clearance, Aerial Duel, Interceptions, Blocked Shots, Tackles, Final Ball, Key Dribbles, Overlapping Runs, Set Piece Taker] Spacing, Possession, Pass Completion, and Counter Pressing with Pursuit and Ambush Predation One Team Box Touches and Capture the Flag with Analytics-Geometry Total Football Trixie Bet on CNS Drugs (Xanax and Modafinil); 1-1-2-1 Diamond Rover Futsal Pivot Formation

Define a run in one of two ways: (i) as a set of consecutive goals scored by one team, without the other team scoring a goal; (ii) as a set of consecutive scoring events by one team, each event being either a goal or one or more Set Piece. Play aggressive and with counter pressing and run it up on the score board in the first half and after halftime play defense. You get a break at half and it's easier to win when someone plays defense and looks for opportunities instead of Attacking.

Posterior Chain Super Compensation and Speed-Endurance (Elastic-Connective Tissue) Force-Velocity Curve; Crescent Moon Horizontal Plane Vertical Force Sprinting Mechanics.

Set Piece Stylistic Biomechanics: Shooting Knee at Wall for Curve and Placement Knee for Corner. Follow through with Shot with proper Body Alignment

Knee to Feet or Shoulder to Feet Cradling for Touch/Entertainment

Placement Mechanics: Arch-Heel Linedrive and Arch-Knuckle Raised Curve

UEFA Front Office Curriculum

Museum d'histoire: Broken down into three major section — “A Lineage of Coaches Players and Places,” “Proving Grounds” and “Cultures of Basketball” — City/Game documents how basketball first found its origins in the neighborhoods of NYC and then went on to produce a roster of local legends who played everywhere from Rucker Park and the Cage on West 4th Street to Christ the King High School and St. John’s University.

Agility Ladder Eyes Pocket: Eyes Between Defenders Feet and Ball, Numbered Footwork V-Step (Shifting Defenders with Momentum) et L-Step (Explosive First Step), All moves should form a Triangle or an Incomplete Triangle (Coup de Pied)

*Push-Pull Sprint/Shooting Cycle: Pull Glutes et Hamstring; Push Calf et Quads for Sprints.

Sprint Size Up: A series of feint Karaoké dribble moves with Eye Tricks (Fake Pass) but Sprint Position Finish

Triangle Philosophy: All Dribbling Moves should form a Triangle or an Incomplete Triangle while using V-Step (Shifting Defenders with Momentum) et L-Step (Explosive First Step).

Thé Crescent: In Close Dribbling; Crescent Footwork with L Shapes (Paul Pogba)

On the Run Dribbling Moves: Letters and Shapes; Still Play 1 on 1: Numbered Footwork

Piedi Felici Courts: Drills Side/Box Play with 1 Net; Design Vaporwave Action Painting Angels; Knee for Direction and Sole Drags for Dribbling Touch and Crescent Moon Sprint Mechanics

Gambling Games: 5 Roll (Captain, Ship, Crew); Live-Pool Betting Monopoly

Stylistic Biomechanics: Dribbling Foot To Ball Contact (Balls of Feet and Arch of Feet); Knee for Direction; Foot Drags; & Hip Angle, Crescent Moon Running Mechanics, and Laces Kick.

Diamond Football (15 mins)

Set Up

-Lay out two overlapping sets of 4 flat markers in the positions shown above.

-Ask the players to stand on a flat marker for their teams colour (Red on Red, Yellow on Yellow).

Instruction

-Whenever the ball goes out for a kick in or for the defenders ball, the players must stand on their markers before play begins.

-As soon as the ball has been played in, players are free to move.

-Reset everytime the ball goes out.

Coaching Points, Progressions Ect.

-Ask players to shout out what each position on the park is to devlop understanding of their roles.

-If you decide to go to a normal game , leave the markers out for a visual aid for the players.

-If more than 8 players, Add in Goalkeepers who would then play the ball out to the DF,LM,RM.

-Rotate Positions, Ask Players to stand on a marker they haven't been on before

RUSSE NOIR ACCENT

Lingua Franca of Renaissance Latin (Vocabulary) and Atlantic–Congo Fon (Grammar).

Volta–Congo is a major branch of the Atlantic–Congo family. Fon (fɔ̀ngbè, pronounced [fɔ̃̀ɡ͡bē][2]) also known as Dahomean is the language of the Fon people. It belongs to the Gbe group within the larger Atlantic–Congo family.

In linguistic typology, subject–verb–object (SVO) is a sentence structure where the subject comes first, the verb second, and the object third.

Haitian Creole (/ˈheɪʃən ˈkriːoʊl/; Haitian Creole: kreyòl ayisyen, [kɣejɔl ajisjɛ̃];[6][7] French: créole haïtien, [kʁe.ɔl a.i.sjɛ̃]), or simply Creole (Haitian Creole: kreyòl), is a French-based creole language spoken by 10 to 12 million people worldwide, and is one of the two official languages of Haiti (the other being French), where it is the native language of the vast majority of the population. The language emerged from contact between French settlers and enslaved Africans during the Atlantic slave trade in the French colony of Saint-Domingue (now Haiti) in the 17th and 18th centuries. Although its vocabulary largely derives from 18th-century French, its grammar is that of a West African Volta-Congo language branch, particularly the Fongbe and Igbo languages.

Prose Accent Congo and Modern Accent Congo.

Full Lips Endings with Vertical Narrow Mouth and Soft Rs.

A noun phrase – or NP or nominal (phrase) – is a phrase that usually has a noun or pronoun as its head, and has the same grammatical functions as a noun.

BELMÔNT'S SIN INDEX FUND PORTFOLIO 

Sin stock sectors usually include alcohol, tobacco, gambling, sex-related industries (Cabaret and Burlesque), and weapons manufacturers.

Diageo 

Phillip Morris

Sports Betting Investment Trust

Pharmaceuticals

Business Clusters with Scrum Management and Accelerators to produce Festivals.

Example: Create a Index Fund Portfolio of 15-20 Stocks and using Supply Side Economics to create Decentralized Gambling Economy.

BELMÔNT'S DECENTRALIZED GAMBLING ECONOMY

Corporate-Capital Gains Tax Haven

High Stakes Minimum Buy In

Card Gambling (Signal and President): Top 2 highest bids fight for the Coup d'état and the other two are lesser men, the lesser men are subordinates that aid in playing cards for the warlord, the winning team splits the money, the warlords switches based on the 13 cards dealt and bets placed, the first team to shed all of their cards win.

Domestic Gambling: Boxing

Retirement Gambling: Boat Racing

Residency Program for Tax Benefits

BELMÔNT'S TURF ACCOUNTING MODEL

+EV

Python Programming Gaussian Distribution

Exotic Options Trading Live Betting

Parlays Minimum for Round Robins

Daily Fantasy Sports Rakes

RUSSE NOIR PALACE

Definitions of ballroom. noun. large room used mainly for dancing. synonyms: dance hall, dance palace**. types: disco, discotheque.

Go Go Music Influenced, Eurphoric Trance Chord Progression Melody, Progressive House and Drum n' Bass Percussion-808 Call and Response Staccato Polyrhythm or Layered Kick and Punch 808.

In his 1972 study of French lute music, scholar Wallace Rave compiled a list of features he believed to be characteristic of style brisé. Rave's list included the following: the avoidance of textural pattern and regularity in part writing; arpeggiated chord textures with irregular distribution of individual notes of the chord; ambiguous melodic lines; rhythmic displacement of notes within a melodic line; octave changes within melodic line; irregular phrase lengths.

Have the Snare and Kick say, "Hi, How are you?" And the 808 say, "I am good thanks for asking.”

Use progressive House to push the Drums Conversation to either Fast and Punchy for Happy or Slow and Deep for Sad.

In technical terms, "go-go's essential beat is characterized by a five through four syncopated rhythm that is underscored prominently by the bass drum and snare drum, and the hi-hat... [and] is ornamented by the other percussion instruments, especially by the conga drums, rototoms, and hand-held cowbells."[5]

Polyrhythm: In music, a cross-beat or cross-rhythm is a specific form of polyrhythm. The term cross rhythm was introduced in 1934 by the musicologist Arthur Morris Jones (1889–1980). It refers to a situation where the rhythmic conflict found in polyrhythms is the basis of an entire musical piece.[1]

Four-on-the-floor (or four-to-the-floor) is a rhythm used primarily in dance genres such as disco and electronic dance music. It is a steady, uniformly accented beat in 4. 4 time in which the bass drum is hit on every beat (1, 2, 3, 4).[1] This was popularized in the disco music of the 1970s[2] and the term four-on-the-floor was widely used in that era, since the beat was played with the pedal-operated, drum-kit bass drum.[3][4] (Punch 808-Kick)

Polyrhythm 4 on the Floor examples 2:4 or 5:4

Hard trance is often characterized by strong, hard (or even downpitch) kicks, fully resonant basses and an increased amount of reverberation applied to the main beat. Melodies vary from 140 to 180 BPMs and it can feature plain instrumental sound in early compositions, with the latter ones tending to implement side-chaining techniques of progressive on digital synthesizers.

Singles Only Email Raves Blogger then Multi Market Distribution Deal: A distribution deal is a contract to release the music to platforms, but not own the publishing or exclusively lock the artist in. Record Artist Producer Label: Have Polyrhythm Artist earn Streaming Percentage under a Recording Artist Deal. Label has Distribution Above Me and I have Manufacturing over Polyrhythm Artist. Have a end of the Year Album for New Year's Raves!

BELMÔNT'S SYSTEM: CAPÔI RETAINER AGREEMENT WITH ASSET PROTECTION TRUST

Capo: Describes a ranking made member of a family who leads a crew of soldiers. A capo is similar to a military captain who commands soldiers. Soldier: Also known as a “made man,” soldiers are the lowest members of the crime family but still command respect in the organization.

A capo is a "made member" of an Italian crime family who heads a regime or "crew" of soldiers and has major status and influence in the organization.

Consigliere: Defense and Corporate Lawyers

Head Boss: Ministry of Medicine

Underboss: Pharmaceutical Industry

Capo: CAPÔI RETAINER AGREEMENT

Soliders: Artisans

Commercialism is the application of both manufacturing and consumption towards personal usage, or the practices, methods, aims, and distribution of products in a free market geared toward generating a profit.

Commercial art is art created for advertising or marketing purposes. Commercial artists are hired by clients to create images and logos that sell products. Unlike works of fine art that convey an artist's personal expression, commercial art must address the client's goals.

The word 'Commercial' is defined as follows: Concerned with or engaged in commerce. Commerce is the exchange of goods or services among two or more parties.

Craftsmen are committed to the medium, not to self-expression. Artists are committed to their self-expression, not the medium.

A medium of exchange is an intermediary instrument and system used to facilitate the purchase and sale of goods and services between parties.

Stretch and Micro Goals

Music Medium System: Distribution and Retailers Contract Theory (System) for Music (Instrument)

Football Medium System: Analytics and Geometry for Free Role (System) Trixies (Instrument)

Age 16-19

Bond Funds

Farmland REITS

CFDS

Real Estate Brokerage Trust Account

Age 20-30

Farmland Recession Proof Stocks (Cosmetics, AgTech, Ag ETFS, AgETN)

Incubator and Startup Accelerators

Real Estate Joint Ventures

Age 30-40

Farmland Blue Chip Indexes w/ Credit Spread Options

CURRENCY, OIL, & GOLD COMMODITIES CANDLESTICK CHARTS

Swing Trading: Use mt4/mt5 With Heiken Ashi Charts, Setting at 14 or 21 Momentum Indicator above 0 as Divergence Oscillator and Volume Spread Analysis as Reversal Oscillator and Trade when bullish candlesticks above 200 exponential moving average and/or 20 exponential moving average (EMA) on H1 (Hourly) Time Frame; use H4 (4 Hours) and D1 (1 Day) as reference.

TUNNEL STRATEGY (OFFSHORE BANKING)

Purpose: Permanent Residency Card

$250k Deposit

$125k: 60/40 portfolio, 60% Fixed Income & REITs and 40% Blue Chip Stocks

$50k: Guaranteed Investment Certificates (GICs) and term deposits are secured investments. This means that you get back the amount you invest at the end of your term. The key difference between a GIC and a term deposit is the length of the term. Term deposits generally have shorter terms than GICs.

$75k: Spending Cash

SIN STOCKS PORTFOLIO

Sin stock sectors usually include alcohol, tobacco, gambling, sex-related industries, and weapons manufacturers.

Sports Betting Investment Trust

Pharmaceuticals

Example: Create a Index Fund Portfolio of 15-20 Stocks and using Supply Side Economics to create Decentralized Gambling Economy.

FESTIVALS DEAL

Singles Only Email Raves Blogger then Multi Market Distribution Deal: A distribution deal is a contract to release the music to platforms, but not own the publishing or exclusively lock the artist in. Record Artist Producer Label: Have Polyrhythm Artist earn Streaming Percentage under a Recording Artist Deal. Label has Distribution Above Me and I have Manufacturing over Polyrhythm Artist. Have a end of the Year Album for New Year's Raves!

NEUROPLASTICITY DRUG-CRIME NEXUS BASED ON TRAFFICKING

CPP, CNS Depressants, et FENTALOGS: Cul-de-sac

Defensive Penalty Capture The Flag Raiding Warfare

Grey-Decentralized Markets

Bastilles: Cul-de-sac Artist Résidences Penthouse Complexes

Polyrhythm Raves

Acid House Art Gallery

International Film Festival

Hôtel Chefs

Seigneurial System/Tableau Economique Raw Material Économics Production Spot

Surautomatism

Discount Networking Acid House Party

Opium Dens and Fragrance Festivals

Pill Pressers

CNS depressants

Upper-tier County System

Defense Lawyers are Traplords (Trafficking P4P and Malicious Prosecution)

Cash Conversion Cycle (CCC)

Brain Receptor Dealing

Neuroplasticity Drug-Crime Nexus

Religious Ecstasy

Entheogens are psychedelic drugs—and sometimes certain other psychoactive substances—used for engendering spiritual development or otherwise in sacred contexts

Live-Pool Betting Monopoly Board Game

Summary Sentencing

Urban Level: Street Culture Art Gallery (Street culture may refer to: Urban culture, the culture of towns and cities, Street market, Children's street culture, Street carnival, Block party, Street identity, Street food, Café culture, Several youth subculture or counterculture topics pertaining to outdoors of urban centers. These can include: Street art, Street photography, Street racing, Street wear, Hip-hop culture, Urban fiction, Street sports, Streetball, Flatland BMX, Freestyling), Art Pedagogy, Artist Residency, Art Schools, and Art Plugs

Art Pedagogy: Arts-based pedagogy is a teaching methodology in which an art form is integrated with another subject matter to impact student learning. 28-30. Arts-based pedagogy results in arts-based learning (ABL),11 which is when a student learns about a subject through arts processes including creating, responding or performing. Aesthetic Teaching: Seeking a Balance between Teaching Arts and Teaching through the Arts. In aesthetic education, learning must be developed especially with the inclusion of sensations and with the help of feelings. Sensations and feelings should lead to movement, representation, and expression. Aesthetic learning often entails learning to distinguish certain qualities or objects aesthetically in different ways depending on the situation and the purpose. Certain things can be experienced in negative ways in one activity and in positive ways in another.

A designer drug is a structural or functional analog of a controlled substance that has been designed to mimic the pharmacological effects of the original drug, while avoiding classification as illegal and/or detection in standard drug tests

Patchwork tattoos are a collection of tattoos collaged together to create an overall design. Each individual 'patch' of the tattoo can be a different design, symbol or element with a little space in between. Patchwork tattoos are a collection of tattoos collaged together to create an overall design. In short, the gun-toting angel was a multifaceted metaphor. “It undoubtedly also reflected the Catholic Counter-Reformation militaristic rhetoric,” wrote Donahue-Wallace, “which promoted the church as an army and heavenly beings as its soldiers.”

DECADENCE AESTHETICS THEORIES

Slogan

J'Cartier, Je cours après les vœux de champagne,

Subjective

Based on or influenced by personal feelings, tastes, or opinions

Gastronomy

Precarious Balance

Precariously: If something is happening or positioned precariously, it's in danger. A glass could be precariously balanced on the edge of a table. If something is on the verge of danger, then the word precariously fits.

Grey & Decentralized Markets

Tableau Économique

Semblance

Semblance is generally used to suggest a contrast between outward appearance and inner reality.

High Socioeconomic Status & Tattoos

Phantasmagorical

Having a fantastic or deceptive appearance

adjective. having a fantastic or deceptive appearance, as something in a dream or created by the imagination. having the appearance of an optical illusion, especially one produced by a magic lantern.

Socioeconomic Status Development Immigration Multilingual Sensory Play

Law of Polarity in Relationships

In any successful relationship that has an intimate connection and sexual attraction, there is polarity. What does this mean exactly? Polarity in relationships is the spark that occurs between two opposing energies: masculine and feminine. Gender does not affect whether you have masculine or feminine energy.

Second Reflection

Burden Aesthetics with Intentions

The Second Reflection lays hold of the Technical Procedures

Tattoos

SOCIO-PSYCHOLOGY

Keystone Theory Habits

Game Theory

Behavioral Finance

Self-actualization is the complete realization of one's potential, and the full development of one's abilities and appreciation for life. This concept is at the top of the Maslow hierarchy of needs, so not every human being reaches it.

Potential Psychology: Psychological potential is a very broad concept. It may include one's capacity to conform, change, re-invent oneself, bounce back from adversity, etc.

SOCIO-FORMAL SCIENCE

+EV Optimal Game Theory Poker

Civil, Agriculure, Solvent Levelling Effect Chemical Reaction, and Biomechanical Engineering

SOCIO-PHILOSOPHY

Ontology

IMPERIALISM, THE HIGHEST STAGE OF CAPITALISM

Imperialism, the Highest Stage of Capitalism,[1] originally published as Imperialism, the Newest Stage of Capitalism,[2][3] is a book written by Vladimir Lenin in 1916 and published in 1917. It describes the formation of oligopoly, by the interlacing of bank and industrial capital, in order to create a financial oligarchy, and explains the function of financial capital in generating profits from the exploitation colonialism inherent to imperialism, as the final stage of capitalism. The essay synthesises Lenin's developments of Karl Marx's theories of political economy in Das Kapital (1867).[4]

Tax Mergers Law; Market-extension merger: Two companies that sell the same products in different markets. 4.2.2 Corporate Taxation At the corporate level, the tax treatment of a merger or acquisition depends on whether the acquiring firm elects to treat the acquired firm as being absorbed into the parent with its tax attributes intact, or first being liquidated and then received in the form of its component assets.

SOCIOCULTURAL THEORY OF DEVELOPMENT

Seconds Liberal Arts are often viewed as pre-professional since, while conceived of as fundamental to citizenship, they address the whole person in recognition that our moral and spiritual identities develop best through participation in a society that perpetually renews the rights and responsibilities of membership.

Executive management master's degree programs often result in an Executive Master of Business Administration, or EMBA. They are primarily designed to act as accelerated graduate programs for working professionals who already hold management or executive positions.

Engineering college means a school, college, university, department of a university or other educational institution, reputable and in good standing in accordance with rules prescribed by the Department, and which grants baccalaureate degrees in engineering.

Monopoly Family Boarding Schools: The socio-historical context refers to the societal and historical conditions and circumstances that influence events or individuals. It involves elements like the cultural, economic, and political circumstances during a certain time period.

Agriculturism is an ideology promoting rural life, a traditional way of life. It is characterized by the valorization of traditional values (the family, the French language, the Catholic religion) and an opposition to the industrial world.

CAPÔI CLASS STRUCTURE

Demonym Examples: CAR Congolese, Gabon Congolese, Afrikaans Congolese, and Congolese

Monopoly Family (Apartheid)

Chief Executive of State (Apartheid)

Political Class (RUSSE NOIR)

Upper Class (RUSSE NOIR)

Working Class (RUSSE NOIR)

JEAN-CLAUDE TRAORÉ BUSINESS ADVICE

Blue Ocean Strategy; Solvent Levelling Effect Chemical Reaction Engineering and Economic Science.

TENNIS AGRICULTURE

A clay-court specialist is a tennis player who excels on clay courts, more than on any other surface.

Due in part to advances in racquet technology, current clay-court specialists are known for employing long, winding groundstrokes that generate heavy topspin; such strokes are less effective on faster surfaces on which the balls do not bounce as high. Clay-court specialists tend to slide more effectively on clay than other players. Many of them are also very adept at hitting the drop shot, which can be effective because rallies on clay courts often leave players pushed far beyond the baseline. Additionally, the slow, long rallies require a great degree of mental focus and physical stamina.

CASAPIANOS MARTYROLOGY ORDER (CATHOLIC COUNTER-REFORMATION)

The Casa Pia is a Portuguese institution founded by Maria I, known as A Pia ("Mary the Pious"), and organized by Police Intendant Pina Manique in 1780, following the social disarray of the 1755 Lisbon earthquake. For almost three centuries, thousands of young boys and girls were raised by Casa Pia, including many public personalities, called casapianos. Casa Pia is Portugal's largest educational institution dedicated to helping youngsters in risk of social exclusion or without parental support. The organisation is composed of ten schools and enrolls approximately 4700 students. In addition to standard schooling, the organisation also provides boarding for children in need. It strives to enable these youngsters to become healthy and successful members of society, by developing intellectual, manual, and physical traits, in an environment promoting spiritual, moral, and religious values. The institution is proud to have had amongst its students many outstanding Portuguese personalities, including politicians, journalists, and artists. A martyrology is a catalogue or list of martyrs and other saints and beati arranged in the calendar order of their anniversaries or feasts. Local martyrologies record exclusively the custom of a particular Church. Local lists were enriched by names borrowed from neighbouring churches.[1] Consolidation occurred, by the combination of several local martyrologies, with or without borrowings from literary sources.

The Canons Regular of St. Augustine are priests who live in community under a rule (Latin: regula and κανών, kanon, in Greek) and are generally organised into religious orders, differing from both secular canons and other forms of religious life, such as clerics regular, designated by a partly similar terminology. As religious communities, they have laybrothers as part of the community.

Clerics regular are clerics (mostly priests) who are members of a religious order under a rule of life (regular). Clerics regular differ from canons regular in that they devote themselves more to pastoral care, in place of an obligation to the praying of the Liturgy of the Hours in common, and have fewer observances in their rule of life.

Lay brother is a largely extinct term referring to religious brothers, particularly in the Catholic Church, who focused upon manual service and secular matters, and were distinguished from choir monks or friars in that they did not pray in choir, and from clerics, in that they were not in possession of (or preparing for) holy orders.[1][2][3][4][5]

In female religious institutes, the equivalent role is the lay sister. Lay brothers were originally created to allow those who were skilled in particular crafts or did not have the required education to study for holy orders to participate in and contribute to the life of a religious order.

Lay brothers were found in many religious orders. Drawn from the working classes, they were pious and hardworking people, who though unable to achieve the education needed to receive holy orders, were still drawn to religious life and were able to contribute to the order through their skills. Some were skilled in artistic handicrafts, others functioned as administrators of the orders' material assets. In particular, the lay brothers of the Cistercians were skilled in agriculture, and have been credited for the tilling of fertile farmland.[1]

Lay sisters were found in most of the orders of women, and their origin, like that of the lay brothers, is to be found in the necessity of providing the choir nuns with more time for the Office and study, as well as creating the opportunity for the illiterate to join the religious life. They, too, wore a habit different from those of the choir sisters, and their required daily prayers consisted of prayers such as the Little Office or a certain number of Paters.[1]

All canons regular are to be distinguished from secular canons who belong to a resident group of priests but who do not take public vows and are not governed in whatever elements of life they lead in common by a historical rule. One obvious place where such groups of priests are required is at a cathedral, where there were many Masses to celebrate and the Divine Office to be prayed together in community.

In modern astrology, Mars is the primary native ruler of the first house. Traditionally however, Mars ruled both the third and tenth houses, and had its joy in the fifth house. While Venus tends to the overall relationship atmosphere, Mars is the passionate impulse and action, the masculine aspect, discipline, willpower and stamina.

Mars rules over Tuesday and in Romance languages the word for Tuesday often resembles Mars (in Romanian, marți, in Spanish, martes, in French, mardi and in Italian "martedì"). The English "Tuesday" is a modernised form of "Tyr's Day", Tyr being the Germanic analogue to Mars. Dante Alighieri associated Mars with the liberal art of arithmetic. In Chinese astrology, Mars is ruled by the element fire, which is passionate, energetic and adventurous.

According to John Clements, the term martial arts itself is derived from an older Latin term meaning "arts of Mars", the Roman god of war, and was used to refer to the combat systems of Europe (European martial arts) as early as the 1550s

A religious congregation is a type of religious institute in the Catholic Church. They are legally distinguished from religious orders – the other major type of religious institute – in that members take simple vows, whereas members of religious orders take solemn vows.

In the Catholic Church, a religious order is a community of consecrated life with members that profess solemn vows. They are classed as a type of religious institute.[1]

Catholic School Girls Moon Evangelical Prophets: Consecrated life is "placed in a privileged position in the line of evangelical prophecy," whereby its “charismatic nature” and communal discernment of the Spirit "makes it capable of inventiveness and originality.”

Men Mars Angelology Conversion System: Church Enterprises (Planetary Intelligence Church District Real Estate; Liberal Arts Catholic Immersion Schools; Gold; Athletics; Cooking);

Church Gatherings (School Nights Virgil, Weekend Noon Mass then Weekend Sports League) Francis de Sales and Don St. Bosco Influence 

Harquebusier Angels Patchwork Tattoos: Biblical Crowns, Praying Hands, Gun Toting Angels, Dirty Dancing Angels, Drug Using Angels, Heavenly Choir, Summa Theologica Sherman, Saints and Pastors, Hebrew Tetragram, Council of Trent

HARQUEBUSIER ANGELS GANG BLUEPRINT: PARDISUS MEDIAE; Spirit Unity Oversoul Angelology Shaman, Eros Influence Angels: Ecstasy-Painkillers Trafficking Angel Spirit Type Oversoul, Jupiter-Mars-Venus with Planetary Intelligence; Erotes are Horcruxes, Google Imprint Oversoul, Choice of Choir is Heavenly Host, Lightning-Ice Element, Wings Transfer Invocation, MARS-JUPITER  Syncretism Planetary Intelligence, ESTJ Sensory Myers-Briggs Personality Indicator Syncretism, Church Expenses Occupation (Festivals, Venues, Freeports, Art Gallery, Underground Garages, Tobacco Store, Restaurants, Réal Estate Brokerage, Impure Aesthetic Thrillers Publishing Imprint et Production Company, Body Etching, Lipodissolve, and Hyaluronic Acid Fillers Cosmetics Surgery

ANGOLAN HARQUEBUSIER ANGELS STRUCTURE; Commission on the Social and Cultural Affairs; Commission for Ecumenism; The Commission on Christian Education; Liturgical Commission; Missionary Committee; Chief Executive of State and Military Religion Legislation; Stretch and Micro Goals

Material religion is a framework used by scholars of religion to examine the interaction between religion and material culture. It focuses on the place of objects, images, spaces, and buildings in religious communities. The framework has been promoted by scholars such as Birgit Meyer, Sally Promey, S. Brent Plate, David Morgan, etc.

Physiocracy (French: physiocratie; from the Greek for "government of nature") is an economic theory developed by a group of 18th-century Age of Enlightenment French economists who believed that the wealth of nations derived solely from the value of "land agriculture" or "land development" and that agricultural products should be highly priced.[1] Their theories originated in France and were most popular during the second half of the 18th century. Physiocracy became one of the first well-developed theories of economics.

The Bible typically describes the Heavenly host as being made up of angels, and gives several descriptions of angels in military terms, such as their encampment (Genesis 32:1–2), command structure (Psalms 91:11–12; Matt.13:41; Rev.7:2), and participation in combat (Job 19:12; Rev.12:7). Other passages indicate other entities make up the divine army, namely stars (Judges 5:20, Isaiah 40:26).[1][full citation needed] In Christian theology, the heavenly host participate in the war in Heaven.

The doctrine or theory of immanence holds that the divine encompasses or is manifested in the material world. It is held by some philosophical and metaphysical theories of divine presence. Immanence is usually applied in monotheistic, pantheistic, pandeistic, or panentheistic faiths to suggest that the spiritual world permeates the mundane.

The Dionysian Mysteries were a ritual of ancient Greece and Rome which sometimes used intoxicants and other trance-inducing techniques (like dance and music) to remove inhibitions and social constraints, liberating the individual to return to a natural state. 

Religious nationalism can be understood in a number of ways, such as nationalism as a religion itself, a position articulated by Carlton Hayes in his text Nationalism: A Religion, or as the relationship of nationalism to a particular religious belief, dogma, ideology, or affiliation. This relationship can be broken down into two aspects: the politicisation of religion and the influence of religion on politics.

Dioceses ruled by an archbishop are commonly referred to as archdioceses; most are metropolitan sees, being placed at the head of an ecclesiastical province. In the Catholic Church, some are suffragans of a metropolitan see or are directly subject to the Holy See.

The body of light, sometimes called the 'astral body'[a] or the 'subtle body,'[b] is a "quasi material"[1] aspect of the human body, being neither solely physical nor solely spiritual, posited by a number of philosophers, and elaborated on according to various esoteric, occult, and mystical teachings. Other terms used for this body include body of glory,[2] spirit-body, luciform body, augoeides ('radiant body'), astroeides ('starry or sidereal body'), and celestial body.[3] The concept derives from the philosophy of Plato: the word 'astral' means 'of the stars'; thus the astral plane consists of the Seven Heavens of the classical planets. The idea is rooted in common worldwide religious accounts of the afterlife[4] in which the soul's journey or "ascent" is described in such terms as "an ecstatic, mystical or out-of body experience, wherein the spiritual traveller leaves the physical body and travels in their body of light into 'higher' realms."[5]

The canon law of the Catholic Church (from Latin ius canonicum[1]) is "how the Church organizes and governs herself".[2] It is the system of laws and ecclesiastical legal principles made and enforced by the hierarchical authorities of the Catholic Church to regulate its external organization and government and to order and direct the activities of Catholics toward the mission of the Church.

An institute of consecrated life is an association of faithful in the Catholic Church canonically erected by competent church authorities to enable men or women who publicly profess the evangelical counsels by religious vows or other sacred bonds "through the charity to which these counsels lead to be joined to the Church and its mystery in a special way".[1] They are defined in the 1983 Code of Canon Law under canons 573–730. The Congregation for Institutes of Consecrated Life and Societies of Apostolic Life has ecclesial oversight of institutes of consecrated life.[2]

In Christianity, the three evangelical counsels, or counsels of perfection, are chastity (NEVER), poverty (or perfect charity), and obedience (RECKLESS ABANDONMENT).[1] As stated by Jesus in the canonical gospels,[2] they are counsels for those who desire to become "perfect" (τελειος, teleios).[3][4] The Catholic Church interprets this to mean that they are not binding upon all, and hence not necessary conditions to attain eternal life (heaven), but that they are "acts of supererogation", "over and above" the minimum stipulated in the biblical commandments.[5][6]

Catholics who have made a public profession to order their lives by the evangelical counsels, and confirmed this by public vows before their competent church authority (the act of religious commitment known as a profession), are recognised as members of the consecrated life.

The Council of Trent (Latin: Concilium Tridentinum), held between 1545 and 1563 in Trent (or Trento), now in northern Italy, was the 19th ecumenical council of the Catholic Church. Prompted by the Protestant Reformation at the time, it has been described as the embodiment of the Counter-Reformation. The Council issued key statements and clarifications of the Church's doctrine and teachings, including scripture, the biblical canon, sacred tradition, original sin, justification, salvation, the sacraments, the Mass, and the veneration of saints[4] and also issued condemnations of what it defined to be heresies committed by proponents of Protestantism. The consequences of the Council were also significant with regard to the Church's liturgy and censorship.

Initiated in part to address the challenges of the Protestant Reformations,[3] the Counter-Reformation was a comprehensive effort arising from the decrees of the Council of Trent. The effort produced apologetic and polemical documents, heresy trials, anti-corruption efforts, spiritual movements, the promotion of new religious orders, and the flourishing of new art and musical styles. 

Tradwave is a Catholic artistic style using synthwave and vaporwave art to promote traditional catholicism. Tradwave usually uses traditional catholic paintings, sculptures, or photographs of saints, given with vaporwave effects, often with a bible verse or quote about catholicism. The art usually tries to convey a resurrection of catholic spirituality in the modern atheist world. Figures often depicted in Tradwave art include Jesus Christ, the Virgin Mary, Ven. Fulton Sheen, Cardinal Robert Sarah, and Mother Angelica.

Tradwave music often takes the form of two main styles. One of them is catholic hymns with vaporwave effects and traditional Vaporwave/Lo-Fi music. It can also have quotes from modern prolific Catholic figures, such as Ven. The other theme is Fulton Sheen and Cardinal Robert Sarah.

Heavenly Virtues: Another phrase to describe this obedience to the voice is “reckless abandon.” It simply means that we let God do what God wants to do through us. It means if He tells us to do something or say something—we do it.

Intercession or intercessory prayer is the act of praying to a deity on behalf of others, or asking a saint in heaven to pray on behalf of oneself or for others. Intercession of the Saints is a Christian doctrine that maintains that saints can intercede for others. To intercede is to go or come between two parties, to plead before one of them on behalf of the other. In ecclesiastical usage both words are taken in the sense of the intervention primarily of Christ, and secondarily of the Blessed Virgin and the angels and saints, on behalf of men.[2] The doctrine is held by the Catholic, Eastern Orthodox Churches, the Assyrian Church of the East, the Oriental Orthodox churches , and some Lutherans and Anglicans (chiefly those of Evangelical Catholic or Anglo-Catholic churchmanship, respectively).[3] The practice of asking saints for their intercession can be found in Christian writings from the 3rd century onwards.[4][5][6] Catholic doctrine supports intercessory prayer to saints. This practice is an application of the doctrine of the Communion of saints. Some of the early basis for this was the belief that martyrs passed immediately into the presence of God and could obtain graces and blessings for others, which naturally and immediately led to their direct invocation. A further reinforcement was derived from the cult of the angels which, while pre-Christian in its origin, was heartily embraced by the faithful of the sub-Apostolic age. The doctrine of intercession and invocation was set forth by the Council of Trent, which teaches that "... the saints who reign together with Christ offer up their own prayers to God for men. It is good and useful suppliantly to invoke them, and to have recourse to their prayers, aid, and help for obtaining benefits from God, through His Son Jesus Christ our Lord, Who alone is our Redeemer and Saviour".[10] Intercessory prayer to saintly persons who have not yet been beatified can also practiced by individuals, and evidence of miracles produced as a result of such prayer is very commonly produced during the formal process of beatification and canonization.

In short, the gun-toting angel was a multifaceted metaphor. “It undoubtedly also reflected the Catholic Counter-Reformation militaristic rhetoric,” wrote Donahue-Wallace, “which promoted the church as an army and heavenly beings as its soldiers.” These "Harquebusier Angels" or "Arcabuceros" are full-length depictions of winged angels, elaborately dressed, and carrying matchlock guns (harquebuses).

The related term astrolatry usually implies polytheism. In anthropological literature these systems of practice may be referred to as astral cults.

A friar is a member of one of the mendicant orders in the Roman Catholic Church. There are also friars outside of the Roman Catholic Church, such as within the Anglican Communion. The term, first used in the 12th or 13th century, distinguishes the mendicants' itinerant apostolic character, exercised broadly under the jurisdiction of a superior general, from the older monastic orders' allegiance to a single monastery formalized by their vow of stability. A friar may be in holy orders or be a non-ordained brother. The most significant orders of friars are the Dominicans, Franciscans, Augustinians, and Carmelites.[1]

Romans 8:31; Exploring Biblical Imagery is one of the most important keys to interpreting and gaining a deeper understanding of the Bible. The Bible often communicates truth to us through images and patterns.

Throughout history, armed priests or soldier priests have been recorded. Distinguished from military chaplains, who are non-combatants that provided spiritual guidance to service personnel and associated civilians, these priests took up arms and fought in conflicts as combatants. The term warrior priests or war priests is usually used for armed priests in Antiquity and the Middle Ages, and of historical tribes.

Slang: In Romans 8:5-8, Paul presents a compelling contrast between living according to the flesh and living according to the Spirit. The flesh, with its disordered desires and rebellion against God, leads only to spiritual desolation. Martyr, one who voluntarily suffers death rather than deny their religion by words or deeds; such action is afforded special, institutionalized recognition in most major religions of the world. The term may also refer to anyone who sacrifices their life or something of great value for the sake of principle. A religious allusion is a brief reference to a person, event, place, or phrase from religious texts or traditions, without describing them in detail. 5 Those who live according to the flesh have their minds set on what the flesh desires; but those who live in accordance with the Spirit have their minds set on what the Spirit desires. 6 The mind governed by the flesh is death, but the mind governed by the Spirit is life and peace. 7 The mind governed by the flesh is hostile to God; it does not submit to God’s law, nor can it do so. 8 Those who are in the realm of the flesh cannot please God. Martyr/Romans 8 Allusion Slang.

Romeu e Julieta (Casapianos Order 1996 Adaptation 18+ Romance Thriller)

While it retains the original Shakespearean dialogue, the film represents the Montagues and the Capulets as warring mafia empires (with legitimate business fronts) and the Capulets were "a Latin family, sort of,"[15] played by Latin-American and Italian actors.[16] It is set in contemporary United States, where swords are replaced by guns[17] (with model names such as "Dagger", "Sword", and "Rapier"), and with a FedEx-style overnight delivery service called "Post Haste".[18] Shakespeare and Impure Aesthetics explores ideas about art implicit in Shakespeare's plays and defines specific Shakespearean aesthetic practices in his use of desire, death and mourning as resources for art. In fiction, a subplot or side story is a secondary strand of the plot that is a supporting side story for any story or for the main plot. Subplots may connect to main plots, in either time and place or thematic significance. Subplots often involve supporting characters, those besides the protagonist or antagonist. Subplots may also intertwine with the main plot at some point in a story.[1]

THE ENCYCLICAL PASSIONARIES ABOUT YHVH CASAPIANOS

Specifically, the royal psalms deal with the spiritual role of kings in the worship of Yahweh. Aside from that single qualification, there is nothing else which specifically links the ten psalms. Each of the psalms make explicit references to their subject, the king. Royal (messianic) psalms deal with the king as God's anointed or chosen one. Many are prayers for the wisdom of the king, his long life or success in battle. Some are prophetic in nature in that they also point to the ideal future king, the Messiah or the King of kings. A martyrology is a catalogue or list of martyrs and other saints and beati arranged in the calendar order of their anniversaries or feasts. Local martyrologies record exclusively the custom of a particular Church. Local lists were enriched by names borrowed from neighbouring churches.[1] Consolidation occurred, by the combination of several local martyrologies, with or without borrowings from literary sources. Simple martyrologies only enumerate names. Historical martyrologies, also sometimes called passionaries, also include stories or biographical details. (Reckless Abandonment; Mars Shamanism and Casa Pia Wing Transfer Invocation)

In the martyrdom narrative of the remembering community, this refusal to comply with the presented demands results in the punishment or execution of an individual by an oppressor. Accordingly, the status of the 'martyr' can be considered a posthumous title as a reward for those who are considered worthy of the concept of martyrdom by the living, regardless of any attempts by the deceased to control how they will be remembered in advance.[1] Insofar, the martyr is a relational figure of a society's boundary work that is produced by collective memory.[2] Originally applied only to those who suffered for their religious beliefs, the term has come to be used in connection with people killed for a political cause. (Armed Friars and The War for Central Africa between Casapianos and The French; The Fall of Yoruba for Bembé; Arcubusier Angels in Africa)

The Metal Ages is a term for the period of human civilization beginning about 6,000 years ago during which metallurgy rapidly advanced, and human populations started using metals such as copper, tin, bronze and finally iron to make tools and weapons. By heating and shaping metals in hot furnaces, humanity also learned to use precious metals such as gold and silver to make intricate ornaments.[1][2] With these technological adaptions, human society became more productive and human settlements became larger and more prosperous, but also more violent.[3] The Metal Ages are divided into three stages: the Copper Age, the Bronze Age, and the Iron Age.[1][2] (Calcium Age of Angola)

5 SENSES FESTIVAL MONTHLY (CASAPIANOS ORDER)

Heortology or eortology is a science that deals with the origin and development of religious festivals,[1] and more specifically the study of the history and criticism of liturgical calendars and martyrologies*. Religious Ecstacy Entheogens are psychedelic drugs—and sometimes certain other psychoactive substances—used for engendering spiritual development or otherwise in sacred contexts.

Sight: Fireworks on Water Front

Sound: Casapianos Palace Raves

Scent: Overnight Fragrance

Taste: Lamb and Wool

Touch: Tomato Food Fight

🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴🇦🇴

CASA PIA REPUBLIC

[sourdoughservitor]

My Year of the Wheel

(image credit: Wikipedia)

Starting on Yule of this year (December 21, 2023), I will be following a project I'm calling my Year of the Wheel. For the following 365 days, I will observe the Wheel of the Year in order to deepen my connection to my craft and develop my practice. I’ve been a witch for over two years now, but I still don’t feel like it’s permeated my life thoroughly–despite the fact that it feels like my real self, and that it helps me on my healing journey. During this year, I will endeavor to do the following:

observe the Wheel of the Year sabbats

observe the full moons and other events

build my practice into my daily life

focus on my passions and interests such as witchcraft and fiction writing

realize and embody my core values, and learn to set aside those that are less important

practice witchcraft each of the 365 days of the coming year

Using these goals, I hope to ritualize and habitualize my craft. Overall, my goal is to use the Year of the Wheel to deepen my connection with my craft and aid me on my journey of self-healing and becoming a stronger, better person.

I wish to develop my divination skills, so please follow me if you want to see my posts about free readings I'll be doing! I hope to do them frequently, at least a couple times a week. I mostly do tarot but I will expand them over time. Also, feel free to ask about anything 💚

I may not post here daily, but I guarantee I'll be journalling and reflecting on how I practiced daily, and I wish to share here the lessons I learn, the information I discover, and the tips I want to share.

Important disclaimer: I do not profess to be the most knowledgeable academic about witchcraft or paganism. While I do my best to be critical and conduct responsible research, I am ultimately pursuing the craft for myself, and my path is designed to suit my needs and goals. Please take my content (as you should all content) with a grain of salt, and use for yourself only what suits your needs.

Please see below for the master list of my Year of the Wheel posts.

•☽────✧⋆⋅☆⋅⋆✧────☾•

Sabbats & the Wheel of the Year

Imbolc

Yule

Twelve Days of Omen

Phases of the Moon

Full Moons

Other Things

Daily, Weekly, & Monthly Quests

Major Arcana Grand Tableau*

Year Ahead Spread

How to Be an Eco-Friendly Witch*

* not my post

[k-s-morgan]

Hi K. I’m sorry the war rages on and that things haven’t gotten better. It does seem like the world has completely gone to shit, permanently. I wish I could do something to help. I’m sorry I can’t.

If it’s ok, and if it’d help get your mind off of things for a bit, I wanted to ask a hannigram-related question.

It’s not clear on the show (if I remember correctly) whether Will dismembered and did the museum tableau of Randall Tier by himself or with Hannibal. It was my understanding that him and Hannibal did it together, however, in the script, Hannibal asks Will something along the lines of “why didn’t you get rid of the body (Randall’s)?” [instead of displaying it?]. So the script implies that Hannibal wasn’t present and didn’t do the tableau with Will, and that Will did it all himself, instead of disposing of the body. (I do think though that this scene from the script was deleted). But on the scenes we actually saw on the episode, it does give the impression that they did it together because later, when they’re on Hannibal’s study, Will says “we’re going to get caught” when they’re discussing Randall and the tableau, so again we’re made to believe they worked together. What is your view? Did they display Randall together or only Will?

Hi! Thank you so much for your ask. The world has indeed is becoming a darker and darker place - or maybe, with the Internet, it's just more obvious now. It seems like people can never just enjoy life, there is always horror and suffering and the indiffrence.

And yes, of course! I think Will staged Randall's body by himself, and while the scene that definitely proves it remained only in the script, I think there is still enough text in the show to heavily imply it.

It starts with Will admitting:

WILL GRAHAM: I don't think I've ever felt more alive than when I was killing him.

HANNIBAL: Then you owe Randall Tier a debt. How will you repay him?

This sounds like Hannibal wants to Will to mutilate Randall himself to repay him for becoming the sacrifice on the altar of his transformation.

Later, after Will, Hannibal, and Jack are watching the body, Jack and Hannibal present different theories, and Will disagrees with them both almost defensively:

WILL GRAHAM: He isn't mocking him. This isn't disdain. He's commemorating him.

To me, this means that positioning Randall like this was his idea, his way of expressing his feelings, and it's important for him to make his unique meaning clear to everyone, including Hannibal.

Then Will moves to the space of his own head, and he and imaginary Randall have this conversation:

RANDALL: You made me a monument.

WILL GRAHAM: You're welcome.

RANDALL: The monument is not to me. It's to you. This is pride.

WILL GRAHAM: I gave you what you want. This is who you are. What you feel finally matches the reality of what I see.

RANDALL: This is my becoming. And yours.

Will shakes his head, this is not his becoming.

Will: This is my design.

Randall says that Will in particular made him a monument, and Will speaks only about himself when explaining that he gave him what he wanted. The idea behind this monument is to show that Will is developing his own unique design - Hannibal shouldn't be involved in this because it's a deeply intimate thing that's unique to everyone, and while Will and Hannibal are absolutely soulmates, they still have different MOs and preferences. At this moment of time, Hannibal fully mastered his, but Will is only starting to spread his wings. The deleted scene from the script elaborates on this notion:

HANNIBAL: Why didn't you dispose of the body? It was the prudent course.

WILL GRAHAM: Randall deserved to be seen.

HANNIBAL: Randall, or your work on him?

WILL GRAHAM: You called it "artistry." Is that how you see your own efforts?

HANNIBAL: I also called it "savagery." You mutilated the body. Displayed it.

WILL GRAHAM: The bird is leaving the nest, Dr. Lecter. Spreading his wings.

HANNIBAL: How did it feel? To manipulate what was a living man into a message all of your own.

WILL GRAHAM: Like I wasn't finished till I had.

Hannibal absorbs this.

HANNIBAL: Did you take a trophy too, Will?

WILL GRAHAM: A memento of my first rodeo? What do you think?

HANNIBAL: I think it would be the act of a serial killer.

WILL GRAHAM: By definition, one body doesn't make me a serial killer.

Also, if Hannibal was there, I think he would be interested in what Will did to Randall's meat, and probably where he took his costume, which would lessen the impact of Will bringing this meat to him later on, passing it for Freddie's.

As for the "We're going to get caught," maybe you meant the scene in E12? Will says this to Hannibal after Mason and Freddie in the hope to bait him into killing Jack and escaping. This is not directly about Randall, Will meant their crimes in general.

HANNIBAL: Jack Crawford already suspects you killed Freddie Lounds.

WILL GRAHAM: If Jack told you he suspects me, it means he suspects you.

HANNIBAL: I know.

Will considers their options a moment, then:

WILL GRAHAM: You should give him what he wants.

HANNIBAL: Give him the Chesapeake Ripper?

WILL GRAHAM: Allow him closure. Reveal yourself. You've taunted him long enough. Let him see you with clear eyes.

So, I think the display of Randall was entirely Will's doing.

[xaltius]

Business Analytics vs. Data Science: Understanding the Key Differences

In today's data-driven world, terms like "business analytics" and "data science" are often used interchangeably. However, while they share a common goal of extracting insights from data, they are distinct fields with different focuses and methodologies. Let's break down the key differences to help you understand which path might be right for you.

Business Analytics: Focusing on the Present and Past

Business analytics primarily focuses on analyzing historical data to understand past performance and inform current business decisions. It aims to answer questions like:

What happened?

Why did it happen?

What is happening now?

Key characteristics of business analytics:

Descriptive and Diagnostic: It uses techniques like reporting, dashboards, and data visualization to summarize and explain past trends.

Structured Data: It often works with structured data from databases and spreadsheets.

Business Domain Expertise: A strong understanding of the specific business domain is crucial.

Tools: Business analysts typically use tools like Excel, SQL, Tableau, and Power BI.

Focus: Optimizing current business operations and improving efficiency.

Data Science: Predicting the Future and Building Models

Data science, on the other hand, focuses on building predictive models and developing algorithms to forecast future outcomes. It aims to answer questions like:

What will happen?

How can we make it happen?

Key characteristics of data science:

Predictive and Prescriptive: It uses machine learning, statistical modeling, and AI to predict future trends and prescribe optimal actions.

Unstructured and Structured Data: It can handle both structured and unstructured data from various sources.

Technical Proficiency: Strong programming skills (Python, R) and a deep understanding of machine learning algorithms are essential.

Tools: Data scientists use programming languages, machine learning libraries, and big data technologies.

Focus: Developing innovative solutions, building AI-powered products, and driving long-term strategic initiatives.

Key Differences Summarized:

Which Path is Right for You?

Choose Business Analytics if:

You are interested in analyzing past data to improve current business operations.

You have a strong understanding of a specific business domain.

You prefer working with structured data and using visualization tools.

Choose Data Science if:

You are passionate about building predictive models and developing AI-powered solutions.

You have a strong interest in programming and machine learning.

You enjoy working with both structured and unstructured data.

Xaltius Academy's Data Science & AI Course:

If you're leaning towards data science and want to delve into machine learning and AI, Xaltius Academy's Data Science & AI course is an excellent choice. This program equips you with the necessary skills and knowledge to become a proficient data scientist, covering essential topics like:

Python programming

Machine learning algorithms

Data visualization

And much more!

By understanding the distinct roles of business analytics and data science, you can make an informed decision about your career path and leverage the power of data to drive success.

[education43]

What Are the Qualifications for a Data Scientist?

In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.

The Key Qualifications for a Data Scientist

To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:

1. Educational Background

A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.

2. Proficiency in Programming Languages

Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.

3. Understanding of Machine Learning

Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.

4. Data Wrangling Skills

Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.

5. Statistical Knowledge

Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.

6. Communication and Data Visualization Skills

Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.

7. Domain Knowledge

Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.

Why Choose DataCouncil for a Data Science Course in Pune?

If you're looking to build a successful career as a data scientist, enrolling in a data science course in Pune with DataCouncil can be your first step toward reaching your goals. Here’s why DataCouncil is the ideal choice:

Comprehensive Curriculum: The course covers everything from the basics of data science to advanced machine learning techniques.

Hands-On Projects: You'll work on real-world projects that mimic the challenges faced by data scientists in various industries.

Experienced Faculty: Learn from industry professionals who have years of experience in data science and analytics.

100% Placement Support: DataCouncil provides job assistance to help you land a data science job in Pune or anywhere else, making it a great investment in your future.

Flexible Learning Options: With both weekday and weekend batches, DataCouncil ensures that you can learn at your own pace without compromising your current commitments.

Conclusion

Becoming a data scientist requires a combination of technical expertise, analytical skills, and industry knowledge. By enrolling in a data science course in Pune with DataCouncil, you can gain all the qualifications you need to thrive in this exciting field. Whether you're a fresher looking to start your career or a professional wanting to upskill, this course will equip you with the knowledge, skills, and practical experience to succeed as a data scientist.

Explore DataCouncil’s offerings today and take the first step toward unlocking a rewarding career in data science! Looking for the best data science course in Pune? DataCouncil offers comprehensive data science classes in Pune, designed to equip you with the skills to excel in this booming field. Our data science course in Pune covers everything from data analysis to machine learning, with competitive data science course fees in Pune. We provide job-oriented programs, making us the best institute for data science in Pune with placement support. Explore online data science training in Pune and take your career to new heights!

[raziakhatoon]

 Data Engineering Concepts, Tools, and Projects

All the associations in the world have large amounts of data. If not worked upon and anatomized, this data does not amount to anything. Data masterminds are the ones. who make this data pure for consideration. Data Engineering can nominate the process of developing, operating, and maintaining software systems that collect, dissect, and store the association’s data. In modern data analytics, data masterminds produce data channels, which are the structure armature.

How to become a data engineer:

 While there is no specific degree requirement for data engineering, a bachelor's or master's degree in computer science, software engineering, information systems, or a related field can provide a solid foundation. Courses in databases, programming, data structures, algorithms, and statistics are particularly beneficial. Data engineers should have strong programming skills. Focus on languages commonly used in data engineering, such as Python, SQL, and Scala. Learn the basics of data manipulation, scripting, and querying databases.

 Familiarize yourself with various database systems like MySQL, PostgreSQL, and NoSQL databases such as MongoDB or Apache Cassandra.Knowledge of data warehousing concepts, including schema design, indexing, and optimization techniques.

Data engineering tools recommendations:

    Data Engineering makes sure to use a variety of languages and tools to negotiate its objects. These tools allow data masterminds to apply tasks like creating channels and algorithms in a much easier as well as effective manner.

1. Amazon Redshift: A widely used cloud data warehouse built by Amazon, Redshift is the go-to choice for many teams and businesses. It is a comprehensive tool that enables the setup and scaling of data warehouses, making it incredibly easy to use.

One of the most popular tools used for businesses purpose is Amazon Redshift, which provides a powerful platform for managing large amounts of data. It allows users to quickly analyze complex datasets, build models that can be used for predictive analytics, and create visualizations that make it easier to interpret results. With its scalability and flexibility, Amazon Redshift has become one of the go-to solutions when it comes to data engineering tasks.

2. Big Query: Just like Redshift, Big Query is a cloud data warehouse fully managed by Google. It's especially favored by companies that have experience with the Google Cloud Platform. BigQuery not only can scale but also has robust machine learning features that make data analysis much easier. 3. Tableau: A powerful BI tool, Tableau is the second most popular one from our survey. It helps extract and gather data stored in multiple locations and comes with an intuitive drag-and-drop interface. Tableau makes data across departments readily available for data engineers and managers to create useful dashboards. 4. Looker:  An essential BI software, Looker helps visualize data more effectively. Unlike traditional BI tools, Looker has developed a LookML layer, which is a language for explaining data, aggregates, calculations, and relationships in a SQL database. A spectacle is a newly-released tool that assists in deploying the LookML layer, ensuring non-technical personnel have a much simpler time when utilizing company data.

5. Apache Spark: An open-source unified analytics engine, Apache Spark is excellent for processing large data sets. It also offers great distribution and runs easily alongside other distributed computing programs, making it essential for data mining and machine learning. 6. Airflow: With Airflow, programming, and scheduling can be done quickly and accurately, and users can keep an eye on it through the built-in UI. It is the most used workflow solution, as 25% of data teams reported using it. 7. Apache Hive: Another data warehouse project on Apache Hadoop, Hive simplifies data queries and analysis with its SQL-like interface. This language enables MapReduce tasks to be executed on Hadoop and is mainly used for data summarization, analysis, and query. 8. Segment: An efficient and comprehensive tool, Segment assists in collecting and using data from digital properties. It transforms, sends, and archives customer data, and also makes the entire process much more manageable. 9. Snowflake: This cloud data warehouse has become very popular lately due to its capabilities in storing and computing data. Snowflake’s unique shared data architecture allows for a wide range of applications, making it an ideal choice for large-scale data storage, data engineering, and data science. 10. DBT: A command-line tool that uses SQL to transform data, DBT is the perfect choice for data engineers and analysts. DBT streamlines the entire transformation process and is highly praised by many data engineers.

Data Engineering  Projects:

Data engineering is an important process for businesses to understand and utilize to gain insights from their data. It involves designing, constructing, maintaining, and troubleshooting databases to ensure they are running optimally. There are many tools available for data engineers to use in their work such as My SQL, SQL server, oracle RDBMS, Open Refine, TRIFACTA, Data Ladder, Keras, Watson, TensorFlow, etc. Each tool has its strengths and weaknesses so it’s important to research each one thoroughly before making recommendations about which ones should be used for specific tasks or projects.

  Smart IoT Infrastructure:

As the IoT continues to develop, the measure of data consumed with high haste is growing at an intimidating rate. It creates challenges for companies regarding storehouses, analysis, and visualization. 

  Data Ingestion:

Data ingestion is moving data from one or further sources to a target point for further preparation and analysis. This target point is generally a data storehouse, a unique database designed for effective reporting.

 Data Quality and Testing: 

Understand the importance of data quality and testing in data engineering projects. Learn about techniques and tools to ensure data accuracy and consistency.

 Streaming Data:

Familiarize yourself with real-time data processing and streaming frameworks like Apache Kafka and Apache Flink. Develop your problem-solving skills through practical exercises and challenges.

Conclusion:

Data engineers are using these tools for building data systems. My SQL, SQL server and Oracle RDBMS involve collecting, storing, managing, transforming, and analyzing large amounts of data to gain insights. Data engineers are responsible for designing efficient solutions that can handle high volumes of data while ensuring accuracy and reliability. They use a variety of technologies including databases, programming languages, machine learning algorithms, and more to create powerful applications that help businesses make better decisions based on their collected data.

[skillpilothub]

What You’ll Learn in a Data Science Bootcamp: A Syllabus Breakdown

At a time when companies are so dependent on information, it is not an exaggeration to say that the job of a data analyst is essential. Data analysts are vital whether they report to a retail company to understand their customer behaviours or a hospital to understand how to treat its patients better by making sense out of their data insights. So what can one do on those with little or no background in data? The following guide will help you, even starting with zero, on how to become a data analyst.

What Does a Data Analyst Do?

It is good to know what a data analyst does before getting straight to the steps. A data analyst gathers, analyses and interprets data in order to aid organizations undertake problem solving and make sound decisions.

Key Responsibilities Include:

Collection and cleaning up of data

operative Trends and pattern analysis

Report and dashboard creation

Presenting clear solutions to laypeople teams

Consider a data analyst as a translator, one who makes confusing numbers tell stories that other individuals can be able to act on.

Step 1: Understand the Role and Assess Your Interest

Everyone fond of the numbers is not suited to do the data analysis. It takes curiosity, attention to details, and communication abilities.

Problem:Most novices believe that it is more concerned with coding or math, but pay insufficient attention to the storytelling part and critical thinking.

Solution: Start by reading job descriptions or talking to professionals. Ask yourself:

Is it that I like solving puzzles?

Do I get along or am I comfortable with spreadsheets or numbers?

Is my preference to get the solution based on data?

Real-life example: Sarah, a customer support rep, saw trends in the field of complaints and began to monitor it in Excel. She did not realize it at the time, but she was already engaging in this kind of basic data analysis.

Step 2: Learn the Basics of Data and Analytics

You don’t need a degree in statistics to start, but you do need foundational knowledge.

Core Areas to Learn:

Spreadsheets (Excel or Google Sheets): These are often the first tools used for data analysis.

Statistics and Math: Understand averages, medians, probability, and standard deviation.

Data Visualization: Learn how to create charts and graphs that make data easy to understand.

Basic SQL (Structured Query Language): This helps you access and retrieve data from databases.

Antithesis: Some argue that you need to master advanced programming languages first. But in reality, many data analysts begin with spreadsheets and work their way up.

Step 3: Learn a Data Analysis Tool or Language

Once you’ve mastered the basics, it’s time to get comfortable with one or more tools used in the field.

Commonly Used Tools:

SQL: For querying databases

Python or R: For advanced analysis and automation

Tableau or Power BI: For creating dashboards and visual reports

Practical Tip: Don’t try to learn everything at once. Choose one tool based on the kind of job you’re aiming for. If you're interested in marketing analysis, Excel and SQL might be enough to start. If you’re leaning towards finance or research, Python may be more useful.

Step 4: Work on Real Projects

The theoretical study is amazing, but the practice is what leads to development.

Problem: Most learners are helpless upon completion of courses: they have experience only.

Solution: Run your own project. For example:

Open government data analysis

Follow your own spending and start trending

Compare the house prices locally based on the available information provided by the government

Real-life example:  John, a teacher who was transformed into a data analyst, will have opportunities to find patterns and causes of absence by relying on school attendance data. He worked in Excel and later was able to include Tableau to add visualizations. It turned into a powerful resume item during job applications.

Step 5: Build a Portfolio

Employers would like to know what you are capable of. Portfolio demonstrates your abilities in practice and helps to prove that you are ready to be hired.

What to Include:

The description of the project in brief consists of the following:

Tool and approaches employed

Visual aids such as charts or dashboard

Your convictions and conclusions

You are able to share a portfolio on your personal blog, LinkedIn, or GitHub. It is all a matter of clarity and confidence with which you can deliver your work.

Step 6: Practice Communication Skills

Becoming a data analyst is not merely all about numbers. You should communicate your results to those who may not be conversant with data in any way.

Key Skills to Develop:

Clearly formulated writing

Creating great slide decks

Giving a secure presentation during meetings

Antithesis: Some others suppose that powerful technical proficiency is a guarantee on its own. Nevertheless, analysts that are somehow incompetent in communicating their results will not have much impact.

Step 7: Apply for Entry-Level Roles or Internships

With a few solid projects and basic tools under your belt, you’re ready to start applying. Look for roles like:

Junior Data Analyst

Reporting Analyst

Business Intelligence Intern

Tailor your resume to highlight practical skills and include links to your portfolio.

Final Thoughts

Turning into a data analyst is not a race. You do not require being a mathematical genius or a coding master to start. Curiosity, an ability to learn and patience to develop skills gradually are also needed.

Summary Checklist:

Understand the role

master fundamentals (spreadsheet, statistics, SQL)

Select any one analysis tool

Carry out real world projects

Create a portfolio

Practice communication

Take entry level jobs

It may seem overwhelming at first, but many successful analysts started just where you are—curious, uncertain, but ready to learn.

[slacourses]

How an Data Analytics Certification Course Can Secure Your Job in the Evolving 2025 Market, Excel, VBA, SQL, MS Access, MS Power BI, Tableau. Alteryx, R Programming, "Business Analytics Certification Course in Delhi", 110008 -"Summer Offer 2025" Free Python Data Science Course" by SLA Consultants India,

A data analytics certification course is a powerful tool for securing your job in the rapidly evolving 2025 market, where digital transformation, AI integration, and cloud adoption are reshaping industries and job requirements. The demand for data analysts is at an all-time high, with the U.S. Bureau of Labor Statistics projecting a 23% increase in job opportunities by 2032, and this growth is expected to accelerate as more data becomes available across sectors like healthcare, finance, retail, and technology. Companies are actively seeking professionals who can turn raw data into actionable insights, making data analytics a critical function in business strategy and operations.

A comprehensive "Business Analyst Course in Delhi" (110008) with the "Summer Offer 2025" Free Python Data Science Course by SLA Consultants India—equips you with the most sought-after technical skills. Mastery of Excel and VBA enables efficient data cleaning, automation, and reporting, which are foundational for any data analyst role. SQL and MS Access are essential for data extraction and management, while advanced visualization tools like Power BI and Tableau are now standard for creating dynamic dashboards and communicating insights to stakeholders. Alteryx streamlines workflow automation and data blending, and R Programming is valued for advanced statistical analysis. The inclusion of a free Python Data Science Course further broadens your skill set, as Python is increasingly required for automation, machine learning, and big data processing—skills that are highly valued in today’s job market. Business Analyst Training Course in Delhi

Certification programs not only teach these technical competencies but also provide hands-on training, real-world projects, and industry exposure. This practical experience is crucial for demonstrating your abilities to potential employers and for building confidence in tackling complex business challenges. Employers are looking for candidates who can combine technical expertise with business acumen and strong communication skills, and a certification signals your commitment to professional development and mastery of current tools. Moreover, certifications from reputable providers are recognized by top companies and can significantly boost your resume, making you stand out in a competitive job market where even entry-level salaries are rising—now averaging $90,000 in the US. Business Analyst Training Institute in Delhi

Business Analyst Programme Modules

Module 1 - Basic and Advanced Excel With Dashboard and Excel Analytics

Module 2 - VBA / Macros - Automation Reporting, User Form and Dashboard

Module 3 - SQL and MS Access - Data Manipulation, Queries, Scripts and Server Connection - MIS and Data Analytics

Module 4 - Tableau | MS Power BI ▷ BI & Data Visualization

Module 5 - Python | R Programing ▷ BI & Data Visualization

Module 6 - Python Data Science and Machine Learning - 100% Free in Offer - by IIT/NIT Alumni Trainer

In summary, a data analytics certification course is a strategic investment for job security and career advancement in 2025. By mastering tools like Excel, VBA, SQL, Power BI, Tableau, Alteryx, R, and Python—and leveraging structured, industry-recognized training—you position yourself as a highly valuable asset to employers across industries. The Business Analyst Certification Course in Delhi with a free Python Data Science Course offers a comprehensive pathway to acquiring these in-demand skills, ensuring you are well-prepared to thrive in the evolving, high-growth field of data analytics. For more details Call: +91-8700575874 or Email: hr@slaconsultantsindia.com

[aicerts09]

Enroll in an AI Marketing Course: Future-Proof Your Career in Digital Marketing

The marketing industry is undergoing a significant revolution, powered by the capabilities of Artificial Intelligence (AI). Businesses now rely on AI to analyze data, predict customer behavior, and deliver personalized campaigns that drive results. This has created a growing demand for professionals who understand how to harness these technologies effectively.

The best way to enter this exciting field? Enroll in an AI marketing course that equips you with the skills, tools, and strategies to thrive in this dynamic landscape. This comprehensive guide will explore every facet of AI marketing courses, from the benefits of learning AI to practical tools and career opportunities.

In this article, we’ll explore how AI is revolutionizing the marketing landscape, the skills you’ll acquire by taking an AI marketing course, and why now is the best time to embrace this technology.

How AI Is Transforming Marketing and Why You Should Enroll in an AI Marketing Course

AI is not just a luxury; it’s a necessity for businesses aiming to stay relevant in today’s digital landscape. When you enroll in an AI marketing course, you’ll dive into how this technology is making marketing smarter, more efficient, and deeply personalized.

1. Hyper-Personalized Marketing

AI allows companies to understand customer behavior at an unprecedented level. By analyzing vast amounts of data, AI can create highly personalized experiences. Think about how Amazon uses AI to recommend products or how Netflix curates content tailored to your preferences. When you enroll in an AI marketing course, you will learn how to leverage AI tools to deliver these kinds of experiences on a large scale.

2. Data-Driven Decision Making

Marketers no longer have to rely on guesswork. AI takes care of the heavy lifting by analyzing large sets of data to uncover actionable insights. After you enroll in an AI marketing course, you’ll know how to use these insights to make informed decisions, optimize campaigns, and increase ROI.

3. Automating Marketing Tasks

AI-powered tools like chatbots, email automation, and predictive analytics allow marketers to automate time-consuming tasks, giving them more time to focus on strategy. Whether it’s automating customer queries or optimizing ad targeting, automation is a game-changer. Once you enroll in an AI marketing course, you’ll gain proficiency in these tools, enabling you to improve your workflow efficiency.

4. Real-Time Performance Monitoring

AI doesn’t just help create campaigns, it helps optimize them in real-time. Tools powered by AI, such as Google Ads and Facebook Ads, analyze how campaigns are performing and make adjustments on the fly. By choosing to enroll in an AI marketing course, you’ll learn how to use these tools to get the best performance from your marketing budget.

Conclusion: AI is not just enhancing marketing efforts but revolutionizing them. By choosing to enroll in an AI marketing course, you position yourself to harness AI’s full potential.

Transition: Let’s now explore the key skills you will develop when you enroll in an AI marketing course.

Key Skills You’ll Develop When You Enroll in an AI Marketing Course

When you enroll in an AI marketing course, you don’t just get theoretical knowledge, you gain hands-on experience with the most advanced AI tools and techniques. These skills are highly sought after in the marketing industry, so completing an AI marketing course will give you a competitive edge.

1. Mastery of AI Marketing Tools

There are numerous AI marketing tools available today, and learning how to use them will set you apart. From content generation tools like Jasper AI to analytics platforms like Tableau, enroll in an AI marketing course to become proficient in these tools that can help you create data-driven campaigns.

2. Predictive Analytics

AI’s predictive analytics capabilities allow marketers to forecast customer behavior and trends. By the time you enroll in an AI marketing course, you will understand how to use AI to predict outcomes, optimize lead generation, and improve campaign targeting.

3. Crafting Personalized Experiences

Personalization is the key to building customer loyalty. In an AI marketing course, you’ll learn how to craft personalized marketing campaigns that speak to the individual. Whether it’s targeted email campaigns or personalized website experiences, enroll in an AI marketing course to master these crucial skills.

4. Ethical AI in Marketing

With great power comes great responsibility. AI has its ethical challenges, particularly around data privacy and bias. An AI marketing course teaches you how to implement AI responsibly, ensuring transparency and fairness in your campaigns.

Conclusion: By the time you finish an AI marketing course, you’ll possess a toolkit full of valuable skills that will make you an indispensable asset to any marketing team.

Transition: Now that we’ve covered the skills you’ll gain, let’s explore why it’s essential to enroll in an AI marketing course to stay ahead of the curve.

Why You Should Enroll in an AI Marketing Course: Future-Proof Your Career

As marketing continues to evolve, it’s essential to stay up-to-date with the latest trends. Enrolling in an AI marketing course is the best way to equip yourself with the knowledge and skills necessary to thrive in this AI-driven era.

1. Stay Ahead of Industry Trends

AI is shaping the future of marketing, and staying ahead of the curve is crucial. If you want to be a leader in your field, you need to enroll in an AI marketing course to understand AI’s role and future applications in marketing.

2. Gain a Competitive Edge

Professionals with AI marketing skills are in high demand. By taking an AI marketing course, you’ll enhance your resume and improve your chances of landing top-tier roles.

3. Drive Better Marketing Results

AI allows you to create smarter campaigns, making every dollar spent more effective. Whether you’re working in paid ads, SEO, or content creation, the skills you gain after you enroll in an AI marketing course will enable you to deliver better results for your clients or company.

4. Maximize Your Marketing Budget

With AI, you can optimize campaigns to get the most out of your marketing budget. By analyzing customer data, AI ensures you’re targeting the right people with the right message at the right time.

Conclusion: Enrolling in an AI marketing course ensures you remain competitive and effective in the ever-evolving marketing landscape.

Transition: Next, let’s look at how AI is already being used in marketing today and how you can benefit from these innovations.

Real-World Applications of AI Marketing and Why You Should Enroll in an AI Marketing Course

AI isn’t just theoretical, it’s already having a profound impact on marketing strategies worldwide. When you enroll in an AI marketing course, you’ll gain a deep understanding of how to apply AI to real-world marketing challenges.

1. Personalized Content Creation

AI tools like GPT-3 enable marketers to generate high-quality content in a fraction of the time it would take manually. For example, content generation tools can write product descriptions, email newsletters, and social media posts based on user data and preferences.

2. Dynamic Pricing Models

AI can optimize pricing by analyzing demand, competitor pricing, and customer behavior. Brands like Uber use dynamic pricing models, and learning how to implement this as part of an AI marketing course will give you a competitive advantage.

3. AI Chatbots

Chatbots powered by AI have revolutionized customer service by providing instant responses to inquiries. Brands like Sephora and H&M use AI chatbots to answer customer queries, making the shopping experience smoother and faster.

4. Predictive Ad Targeting

Platforms like Facebook and Google use AI to predict which users are most likely to engage with ads, optimizing ad spend and increasing campaign effectiveness.

Conclusion: Real-world examples of AI in marketing show its enormous potential for transforming strategies. By choosing to enroll in an AI marketing course, you will be able to leverage these technologies for maximum impact.

Transition: Now that we’ve seen AI in action, let’s look at how to choose the best AI marketing course to suit your goals.

How to Choose the Right AI Marketing Course to Enroll In

Choosing the right course is essential for ensuring you get the best return on your investment. Here are some factors to consider when you decide to enroll in an AI marketing course:

1. Relevance to Your Goals

Make sure the course content aligns with your career objectives. Whether you're looking to specialize in automation or data analytics, find a program that covers those areas.

2. Hands-On Projects

Courses that include practical assignments and real-world projects will help you apply what you learn immediately. Look for programs that provide access to AI marketing tools for hands-on learning.

3. Flexibility and Duration

If you’re working full-time, choose a course that offers flexibility. Many online programs allow you to learn at your own pace, which can make balancing education and work easier.

4. Course Reviews and Alumni Success

Check reviews and success stories from former students to ensure the program delivers on its promises.

Conclusion: By carefully selecting an AI marketing course that aligns with your needs, you’ll set yourself up for success in the fast-paced digital marketing world.

Top AI Marketing Certifications to Boost Your Career

In the competitive world of digital marketing, certifications play a vital role in validating your expertise and staying ahead in the field. When you enroll in an AI marketing course, complementing it with industry-recognized certifications can greatly enhance your career prospects. Here are detailed insights into some of the best AI marketing certifications available today.

1. AI+ Marketing Certification – AI CERTs

Provider: AI CERTs Overview: This certification focuses on leveraging AI tools and techniques to revolutionize marketing strategies. It offers hands-on training on predictive analytics, chatbots, and recommendation systems.

Key Highlights:

Integration of AI in digital advertising and customer engagement.

Practical case studies on successful AI-driven campaigns.

Ethical considerations in AI-driven marketing.

Why Choose It?Offered by AI CERTs, a leading name in AI certifications, this program is perfect for marketers looking to specialize in AI applications across marketing platforms. Learn more: AI+ Marketing Certification

2. Digital Marketing with AI – Google Digital Garage

Provider: Google Digital Garage Overview: This program covers AI-driven tools for SEO, PPC, and email marketing. You’ll learn how to analyze data, improve targeting, and enhance customer experiences.

Key Highlights:

Introduction to AI-powered tools like Google Ads and Google Analytics.

Techniques for improving ad performance using machine learning.

Insights into AI trends in digital marketing.

Why Choose It?Google’s reputation as a tech giant ensures that this certification is industry-relevant and up-to-date. Learn more: Digital Marketing with AI

3. AI-Powered Marketing Certificate – IBM SkillsBuild

Provider: IBM SkillsBuild Overview: This course explores the role of AI in enhancing customer insights and automating marketing workflows. It includes modules on IBM Watson’s marketing capabilities.

Key Highlights:

Learn AI-based personalization strategies for email and content.

Hands-on experience with AI-driven analytics and dashboards.

Case studies featuring IBM’s own marketing campaigns.

Why Choose It?IBM’s focus on enterprise-level AI tools makes this certification ideal for advanced marketers and managers. Learn more: AI-Powered Marketing Certificate

4. Marketing AI Certification – HubSpot Academy

Provider: HubSpot Academy Overview: This certification focuses on automation and AI-driven inbound marketing strategies, emphasizing lead nurturing and campaign efficiency.

Key Highlights:

Automate customer journeys using AI-powered workflows.

Insights into AI-enhanced CRM tools for lead scoring.

Case studies of companies using HubSpot’s AI tools successfully.

Why Choose It?HubSpot’s platform expertise ensures this certification is practical and actionable for marketing professionals. Learn more: Marketing AI Certification

5. Predictive Marketing Analytics – Coursera (by the University of Virginia)

Provider: Coursera (University of Virginia) Overview: This certification focuses on predictive analytics and its applications in marketing. It covers machine learning algorithms for customer segmentation and targeting.

Key Highlights:

Build predictive models using Python and other tools.

Understand customer behavior through advanced data analysis.

Apply AI in optimizing marketing funnels and ROI measurement.

Why Choose It?Offered by a top-ranked university, this certification combines academic rigor with practical insights. Learn more: Predictive Marketing Analytics

By enrolling in an AI marketing course, you position yourself at the forefront of digital marketing’s future. Take the leap today and transform your career with the power of AI!

Conclusion

AI is reshaping the marketing landscape, offering tools and techniques that make campaigns smarter, more personalized, and incredibly efficient. By choosing to enroll in an AI marketing course and complementing it with reputable certifications, you equip yourself with the skills and knowledge to excel in this dynamic field. Whether you’re looking to optimize campaigns, improve customer experiences, or predict market trends, the right training can unlock endless opportunities.

Now is the time to embrace AI in marketing and position yourself as a future-ready professional in the industry.

We’re here for you! Contact AI CERTs to explore how our certifications can elevate your career.

[biittech]

No.1 Data Analytics Course | Designed for Tech Graduates

Data analytics is the backbone of modern decision-making. In an age where data drives industries, understanding how to interpret and leverage this information can set you apart from the competition. Enrolling in a top-notch program can be transformative for tech graduates looking to enhance their skill sets. But with countless options available, how do you find the No.1 Data Analytics Course that suits your needs? This blog will guide you through everything you need to know about diving into data analytics and why it's an essential step for your career advancement. Get ready to unlock new opportunities and elevate your professional journey!

Importance of Data Analytics in Today's World

Data analytics has become a crucial element in today’s decision-making processes. Organizations harness vast amounts of data to gain insights that drive strategic initiatives. Businesses are increasingly relying on data-driven decisions rather than gut feelings. This shift leads to more accurate projections and better resource allocation. Moreover, industries such as healthcare, finance, and marketing leverage analytics for improved outcomes. By predicting trends and understanding customer behavior, companies can tailor their services accordingly. In the age of information overload, making sense of data is essential for remaining competitive. Those who master analytical skills position themselves as valuable assets in any organization. From enhancing operational efficiency to boosting customer satisfaction, the impact of data analytics is profound and far-reaching. As technology evolves, so does the significance of these skills across all sectors.

What to Expect from a Data Analytics Course

When you enroll in a data analytics course, prepare for an immersive experience. The curriculum is designed to blend theory with hands-on practice. You’ll dive into essential tools like Python, R, and SQL. Expect engaging lectures that cover statistical concepts and data visualization techniques. Real-world case studies will be integral, helping you connect the dots between academic knowledge and industry applications. Interactive projects are common. You'll analyze datasets from various fields, enhancing your problem-solving skills while working collaboratively with peers. Guest speakers from leading companies may share insights about current trends in the field. This exposure can deepen your understanding of practical applications and emerging technologies in data analytics. Many programs incorporate mentorship opportunities to guide your journey towards becoming proficient in this exciting discipline.

The Top Skills You Will Learn in a Data Analytics Course

A Data Analytics Course equips you with vital skills that are in high demand across industries. You’ll delve into data manipulation, gaining proficiency in tools like Excel, SQL, and Python. These are essential for transforming raw data into actionable insights. Understanding statistical analysis is another key component. You'll learn how to interpret complex datasets and derive meaningful conclusions from them. This skill empowers you to make informed decisions based on solid evidence. Data visualization techniques also play a critical role. Mastering platforms such as Tableau or Power BI enables you to present your findings visually, making it easier for stakeholders to grasp intricate concepts quickly. Additionally, you'll develop problem-solving abilities tailored for real-world challenges. This holistic approach helps you think critically about business issues while leveraging data-driven strategies effectively. Each of these skills enhances your profile as a capable analyst ready for the workforce.

Why Tech Graduates Should Consider a Data Analytics Course

Tech graduates are uniquely positioned to excel in the field of data analytics. With strong foundations in programming and technology, they can quickly grasp analytical concepts. This advantage allows them to leverage tools and techniques that drive insights from complex datasets. The demand for data analysts is skyrocketing across industries. Companies seek individuals who can interpret data trends and make informed decisions. As a tech graduate, entering this booming sector opens up numerous career opportunities. Furthermore, data analytics combines creativity with technical skills. It encourages problem-solving through innovative approaches—something many tech graduates thrive on. By enhancing their skillset with a specialized course, they stand out in job applications. Pursuing a top-notch program ensures access to networking opportunities and industry connections. Engaging with experienced professionals can lead to mentorships or internships that pave the way for future success in the field of data analytics.

Top Data Analytics Courses for Tech Graduates

For tech graduates eager to dive into data analytics, numerous outstanding courses stand out. The No.1 Data Analytics Course often emphasizes practical experience and real-world applications. You'll engage with projects that reflect industry challenges. Institutes like the No.1 Data Analytics Institute offer immersive programs tailored for those with a technical background. Their curriculum combines statistical skills with programming languages such as Python and R. Additionally, platforms providing online learning options cater to flexibility without sacrificing depth. Courses available nearby can help facilitate hands-on workshops and networking opportunities. Job placement rates of 100% are a common feature among top-tier courses, ensuring that graduates step confidently into the workforce equipped with in-demand skills. Embrace this transformative journey where your passion for technology meets the power of data analysis!

Conclusion

Data analytics has transformed the way businesses operate and make decisions. The growing importance of data means that individuals with analytical skills are in high demand. For tech graduates, pursuing a specialized course can open doors to exciting career opportunities. The best data analytics courses not only equip you with essential skills but also provide real-world experience that employers value. With hands-on training, you'll learn how to interpret complex datasets and present findings effectively. This is crucial for making informed business strategies. Choosing the right program is important. Look for institutes known as the No.1 Data Analytics Institute, which offer a cutting-edge curriculum and have strong industry connections, leading to 100% job placement rates after graduation. If you're a tech graduate eager to dive into this field, consider enrolling in a comprehensive data analytics course near you today. Your future could very well depend on it!

[euroamericaneducation]

The Rise of Data-Driven Hospitality: What Should Students Learn?

The hospitality and tourism industry is undergoing a profound yet quiet revolution. Organizations operating under different hospitality domains like boutique hotels, luxury resorts, global travel platforms and cruise liners, are increasingly becoming dependent on data to design better guest experiences, strengthen operational performance besides staying competitive amid the persistent transformation of international markets.

While the words “data analytics” and “technology” might sound intimidating to someone passionate about service, guest experiences and human interaction, the good news is: there is no need for you to be a tech wizard to flourish and excel in this new environment. However, what you need is a willingness to understand how data helps us make better decisions, serve guests more personally and become more effective hospitality leaders.

Still wondering what data-driven hospitality is all about — and why it’s worth your focus as a hospitality student?

The New Face of Hospitality

Traditionally, hospitality relied on instinct, people skills and experience. Those will always be at the core. But with evolving guest expectations and an increasingly digital global economy, successful hospitality industry professionals must now also recognize trends, predict demand and deliver customized experiences in volume. That’s where data comes into the picture.

Look at these actual examples:

A hotel employs historical booking data to forecast peak times and manage staff levels accordingly.

A restaurant analyzes customer comments to refine its menu.

A travel agency monitors search patterns to create more relevant tour packages.

In all these instances, experts aren’t performing complex computations — they’re employing data as a means to drive improved decisions.

Why Students Should Pay Attention

As a student, you may ask, “Is this really something I must learn if all I care about is running a hotel, coordinating events or being employed in the tourism industry?” The answer to this is a definite yes. Because regardless of which hospitality segment you are interested in, data plays a supporting role in:

Knowing Guest Needs: Learning how to read and understand guest feedback, reviews or satisfaction surveys.

Enhancing Services: Utilizing booking trends or occupancy patterns to provide improved packages or promotions.

Optimizing Operations: Scheduling staff or using resources from actual demand, rather than making an educated guess.

Planning Ahead: Predicting events, seasons or travel patterns based on past performance.

These abilities don’t necessitate deep technical knowledge. They require a curiosity to learn and the self-assurance to use tools that support smarter service.

Key Concepts All Hospitality Students Must Learn

If you’re learning hospitality or planning to, the following are foundational data-related concepts that are increasingly being incorporated into contemporary programs:

1. Basic Data Literacy

Knowledge of basic charts, reports and data dashboards is good to have. Software such as Excel, Google Sheets or reservation systems give you insight that enables you to react to guest trends and increase efficiency.

2. Guest Feedback Analysis

Learning to read internet reviews, make sense of guests’ satisfaction surveys and apply that knowledge to upgrade service delivery is a potent usage of data.

3. Revenue Management Fundamentals

Dynamic pricing, common in hotels and airlines, applies data to determine room rates according to demand. Learning the fundamentals aids students in comprehending how price tactics operate.

4. Trend Forecasting

Understanding how to use tools to monitor and study travel and tourism trends enables professionals to develop applicable products, sell better and plan better.

5. Knowledge of Tools

Hands-on experience with industry software such as POS systems, booking systems or basic analytics tools like Tableau or Power BI builds confidence without the need of a tech background.

Data-Driven Doesn’t Mean “Technical”

There are many who freeze at the mention of the word “data science” or “AI.” But hospitality is about applied, practical use not complex programming. For instance:

A front desk manager looks at a dashboard to see a day’s check-ins and mark VIP visitors.

A resort planner reviews weather and event information to plan poolside activities.

A marketing executive examines which holiday packages receive the most clicks online.

None of these functions need coding — they need intelligent use of tools and good interpretative skills.

How Hospitality Programs Are Adapting

Many higher educational institutions are recognizing these changes and have started modifying hospitality and tourism courses with updated curriculum to include practical, easy-to-grasp modules that integrate technology and data awareness. These might include:

Workshops on guest analytics

Case studies on revenue management

Training on simple data dashboards

Role-playing activities using digital check-in tools or review management platforms

Even if you’re coming from a non-IT background, the goal is to build confidence and not complexity. Institutions delivering hospitality degree programs are blending classic hospitality education with future-focused skills to make the students career ready and not just job ready.

Career Benefits of Being Data-Aware

You have a clear advantage in the modern job market if you know how to use data. Here’s why:

Companies need tech-savvy employees who have the skills to connect old-school service with new-age technology.

You can be versatile across roles, from front-of-house roles to digital marketing or guest relations.

You’ll enjoy more flexibility to work globally, as international brands want professionals who know customer insights and service performance.

Being data-aware makes you a more effective communicator, a better decision-maker, and a more effective leader.

Top 5 Ways Hospitality Students Can Boost Their Data Skills

Take Online Courses — Learn Excel, Google Analytics and data visualization tools such as Tableau or Power BI on platforms such as Coursera or LinkedIn Learning.

Practice with Real Tools — Utilize free tools such as Google Data Studio or CRM software to learn data-driven decision-making.

Join Industry Webinars — Learn about how industry leading hospitality companies utilize data for guest personalization and operation efficiency.

Work on Projects or Internships — Implement data skills in actual hospitality environments to acquire hands-on experience.

Know Basic Statistics — Interpret trends, analyze customer comments and substantiate business plans with data.

Conclusion

Hospitality will always be a people business — but the technology that helps us in serving clients is evolving. Data is one of them. Through the creation of a functional understanding of data insights, hospitality students do not lose the soul of service — they enrich it. You will better know your guests, resolve issues quickly and add value to any organization you join.

So don’t be intimidated by data revolution. Seize it as your chance to lead in a wiser, more responsive world of hospitality.

[callofdutymobileindia]

Top Machine Learning Programs in London for International Students in 2025

In today’s data-driven world, machine learning has become the backbone of innovations across industries—from healthcare and finance to robotics and autonomous systems. As a result, aspiring data scientists, software engineers, and technology enthusiasts are increasingly looking to upskill through reputable programs. If you're an international student seeking to pursue a Machine Learning course in London, 2025 offers more opportunities than ever before.

London, known as one of the world's leading hubs for technology and innovation, provides the perfect ecosystem to learn, experiment, and grow within the AI and machine learning space. With its multicultural environment, access to cutting-edge research, and thriving tech industry, it’s no surprise that thousands of students globally choose London for their AI and machine learning education.

In this blog, we’ll explore why London is a prime destination for international students, what to expect from top-tier programs, and how you can get started on your journey with the right institution.

Why Choose a Machine Learning Course in London?

International students choose London for a reason. The city combines academic excellence with vibrant industry exposure, making it ideal for both learning and launching your career.

1. Academic Excellence

London is home to some of the world’s most respected academic institutions and training centers. A Machine Learning course in London offers globally recognized certifications, industry-aligned curriculum, and access to the latest technologies and tools in AI and data science.

2. Global Tech Hub

London has established itself as a global technology and fintech center. It is filled with AI startups, enterprise R&D centers, and innovation labs, providing students access to internships, hackathons, and real-world exposure.

3. Cultural Diversity

As one of the most multicultural cities in the world, London is welcoming to international students. You’ll find peers from all corners of the globe, fostering collaboration and cross-cultural learning experiences.

4. Career Opportunities

Post-course placement opportunities are abundant. Graduates from a Machine Learning course in London often land roles in companies specializing in data science, AI solutions, machine learning platforms, and research-focused startups.

What to Expect from a Machine Learning Course in London?

Before enrolling, international students should be aware of what’s included in a comprehensive machine learning course. The ideal program covers both theoretical foundations and practical skills, with a focus on current industry applications.

Core Topics Typically Covered:

Supervised and Unsupervised Learning

Deep Learning and Neural Networks

Natural Language Processing (NLP)

Computer Vision

Reinforcement Learning

Data Preprocessing and Feature Engineering

Model Evaluation and Hyperparameter Tuning

Python Programming and Libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)

Tools and Platforms:

Python for machine learning development

Jupyter Notebooks for collaborative coding

TensorFlow and Keras for deep learning

Tableau or Power BI for data visualization

AWS, GCP, or Azure for deploying machine learning models

In 2025, London-based machine learning programs are designed to prepare students not just to build models, but also to deploy them, evaluate their impact, and understand ethical implications.

Boston Institute of Analytics – Machine Learning & AI Certification Program

The Boston Institute of Analytics offers a globally recognized certification in Machine Learning and Artificial Intelligence, specially curated for international students aiming to break into the tech industry or enhance their existing careers.

Why Choose BIA’s Machine Learning Course in London?

Here’s what sets it apart:

Global Recognition: The certification is respected across industries and geographies, giving students a competitive advantage in job markets worldwide.

Industry-Focused Curriculum: Unlike academic programs that are often theory-heavy, BIA focuses on real-world application. Students learn to build ML models that solve practical business problems.

Hands-on Training: With an emphasis on experiential learning, the course includes multiple projects, assignments, and case studies from domains like healthcare, finance, marketing, and e-commerce.

Expert Faculty: Classes are led by industry practitioners with years of experience in machine learning and data science, providing students with practical insights beyond textbooks.

Flexible Learning Options: BIA offers in-person training at its London campus and also provides hybrid or online formats to accommodate global learners.

Career Support: Resume building sessions, mock interviews, mentorship, and placement assistance are integral parts of the program.

Program Highlights:

Duration: 4 to 6 months

Mode: In-person (London Campus), Hybrid, or Online

Tools Covered: Python, Scikit-learn, TensorFlow, PyTorch, NLP toolkits

Certification: Globally recognized Machine Learning & AI Certificate

Eligibility: Open to students and professionals from all academic backgrounds

Ideal For:

International students from engineering, business, or mathematics backgrounds

Early-career professionals aiming for a transition to AI/ML roles

Entrepreneurs and analysts wanting to harness ML for decision-making

Graduates looking to improve employability and job-readiness

Benefits of Studying at Boston Institute of Analytics in London

1. Strategic Location

Located in the heart of London, BIA gives students access to a thriving network of AI meetups, startup incubators, and innovation forums. You’re not just learning in the classroom—you’re learning within the tech ecosystem.

2. Student-Centered Approach

Class sizes are kept small to ensure personalized attention. International students receive support for visa guidance, accommodation tips, and local job placement assistance.

3. Real-World Capstone Projects

Students complete a final capstone project applying the machine learning skills they’ve learned to solve a real business challenge. These projects serve as strong portfolio pieces for future employers.

4. Job Readiness by Graduation

With built-in modules for soft skill development, mock technical interviews, and resume workshops, students are prepared not only to build models but also to communicate their value effectively in the job market.

Career Outcomes After Completing a Machine Learning Course in London

The job market for machine learning professionals in London is robust and rapidly growing. After completing your certification or diploma, you’ll be well-equipped for roles such as:

Machine Learning Engineer

Data Scientist

AI Analyst

Data Engineer

NLP Specialist

Computer Vision Developer

AI Product Manager

Top industries hiring in London include finance, e-commerce, pharmaceuticals, automotive, insurance, and retail.

Salary expectations are also strong. Entry-level roles typically start between £40,000–£55,000 annually, while experienced professionals can earn upwards of £80,000, depending on the company and specialization.

Final Thoughts

Choosing a Machine Learning course in London is one of the smartest moves an international student can make in 2025. The city offers the perfect blend of academic rigor, practical experience, and career opportunities in the global AI ecosystem.

Among the top choices available, the Boston Institute of Analytics stands out for its industry-driven approach, flexible learning formats, expert faculty, and personalized career support. Whether you're a recent graduate, a working professional, or someone exploring a career shift into data science, BIA’s certification program will equip you with the knowledge and skills to succeed in the machine learning domain.

With London as your launchpad and BIA as your training ground, your journey into the future of AI begins with the right foundation. Get ready to learn, build, and innovate.

[rajaganapathi114]

What is meant by Tableau Agent?

By lowering the entrance barrier and assisting the analyst from data preparation to visualisation, Tableau Agent (previously Einstein Copilot for Tableau) enhances data analytics with the power of AI. Improve the Tableau environment by learning how agents operate in a sophisticated AI Tableau Course in Bangalore. No matter how much experience you have as a data analyst or how new you are to data exploration, Tableau Agent becomes your reliable partner, enabling you to gain knowledge and confidently make decisions.

Tableau Agent Integration:

By integrating into the Tableau environment, Tableau Agent improves your workflow for data analysis without causing any unplanned modifications. It serves as your intelligent assistant, helping you with the Tableau creation process while guaranteeing accuracy, offering best practices, and fostering trust based on the Einstein Trust Layer. Together with Tableau Agent, you can confidently examine your data, detect trends and patterns, and effectively and impactfully explain your results.

Many capabilities provided by Tableau Agent improve the data analytics experience and enable anyone to fully utilise their data.

Quicker answers with suggested queries

It can be frightening to start from scratch when you are learning analytics for employment, education, or just for leisure. Even so, where do you start? To reduce the burden and enable you to move swiftly from connecting to data to discovering insights, Tableau Agent can be used to provide questions you might ask of a particular datasource.

Tableau Agent creates a summary context of your connected datasource by quickly indexing it. The dataset is used to produce a few questions based on this summary. "Are there any patterns over time for sales across product categories?" is one scenario Tableau Agent recommends using a dataset similar to Tableau's Superstore practice dataset. You may build a line chart with only one click. Users used to Tableau's drag-and-drop interface can make changes to anything shown before saving and going on to the next question because this is all taking place throughout the authoring process. combining data analysis with hands-on learning.

In a reputable software training institution, anyone can rapidly improve their analytics skills by using the suggested questions.

Data exploration in conversation

Frequently, the response to your initial query prompts more enquiries that enhance your comprehension of the information. With Tableau Agent, you can enhance and iterate your data exploration. You don't have to lose the context of your earlier query to look for more information. Learning how Tableau arranges measurements and dimensions will help you become accustomed to where to drag and drop to obtain the precise visualisation you desire. You can save your work and start a new sheet to address a new question at any time.

Tableau Agent is capable of handling misspellings, filtering, and even changing the viz type. Tableau Agent does indeed employ semantic search for synonyms and fuzzy logic to identify misspelt words. Thus, if you begin with product category, "filter on technology and show sales by product" might be your next query. After setting the filter, Tableau Agent changes the dimension. Seeing this in practice can help you train more employees in your company to use data exploration for their own benefit.

Tableau Agent may enhance your analytics experience, regardless of whether you are working with an existing dashboard or beginning from scratch.

Creation of guided calculations:

Writing calculations in a foreign language might be challenging. With the use of natural language cues, Tableau Agent assists you in creating computations. Therefore, Tableau Agent is there to help you with calculations and explanations in Tableau Prep and while you are generating visualisations, whether you are developing a calculation for a new business KPI or you want to keep track of your favourite sports team.

Tableau Agent searches the Track Name column without specifically requesting it when I ask it to "create an indicator for songs that are a remix" based on my playlist data. Tableau Agent is aware that the term "remix" is frequently used in the Track Name field due to the initial indexing. Before accepting the computation, you can learn how it will behave by reading the informative description that is included with it. Tableau Agent is capable of understanding LODs, text and table computations, aggregations, and even regex writing!

Conclusion

observe how Tableau Agent leverages reliable AI to help you realise the full potential of both your data and yourself. Explore Tableau Agent, which is only available in Tableau+, by watching the demo.