#sql intro

[shumw4y]

"Here are some quick, practical SQL learning resources that will help you get comfortable without overwhelming you:

1. Codecademy - SQL for Beginners

Why: Interactive lessons and hands-on exercises.

What you'll learn: Basics like SELECT, WHERE, JOINs, and aggregation (SUM, COUNT, AVG).

Link: Codecademy - SQL

2. W3Schools - SQL Tutorial

Why: A great reference for looking up syntax and examples.

What you'll learn: SQL fundamentals and queries with examples that are easy to try in a browser.

Link: W3Schools SQL Tutorial

3. SQLBolt

Why: Short, hands-on lessons that help you practice writing queries immediately.

What you'll learn: Data filtering, sorting, and combining tables with JOINs.

Link: SQLBolt

4. Khan Academy - Intro to SQL

Why: Beginner-friendly and focused on the basics, plus you can do exercises along the way.

What you'll learn: Selecting, filtering, sorting, and JOINs, with examples.

Link: Khan Academy SQL

5. LeetCode - SQL Practice

Why: More challenging, with real-world SQL problems you can solve.

What you'll learn: Advanced queries, subqueries, and more complex data manipulations.

Link: LeetCode SQL"

[leahnardo-da-veggie]

Masterlist of Writing

Oh my goodness this took so long to finish haha! Anyways this is a compilation of everything I've written so far, it will be updated as I go along. Btw Here's an about me tag game I once did :)

Worldbuilding:

Geography

Linguistic Post

Linguistics Part 2!

Hygiene, Healthcare and Hieroglyphs

Ceredell

High Fantasy:

The Holy Crusader

Honey-cake

Deer-shade

A Thousand Lives

My Worst Nightmare

Tabitha-Who-Saw-the-gods

The Fae Prince

The Oracle and the King (aka the story of Iraela's sister)

Daughter

The Godhuntress & the Void:

The End of the World

The Beginning of the World

Old Friends

For Want of a Flower

Spirits:

The Spirit Emperor

No

Merida

History (Not a lorepost) (commentary included)

Put up a Sign

To My Friend: Or, a Letter from a Villain

Attempts at fluff/Writing experiments:

Pt 1 (fluff)

Pt 2(angst)

Ones Such As Us (romance)

Requests:

Public transport

Field Researcher

Urban Fantasy:

Tituba and the Darkness

It watched me without eyes

Now, now Dearie

The Devil Drives a Good Bargain

Goodbye

Russian Roulette Club

The Saga of Maizen, Shatterer of Worlds

Rage

The Serpent, part 1

Part 2

Part 3

The Wanderer:

Part 1

Part 2

Part 3

Impossibility

Home

Homesick

Fast Food:

Childhood

Adolescence

Travels

Realistic/Non Fiction:

On Reading

Bird In a Cage

Dawn

Crumpling Butterflies

Expressions

Love

Hate

Box

Can I?

An Ode to Tofu

Love, or the lack thereof

Cream Puffs

An Angel

Trophy Case

Popping

Rooster

Poetry:

Blame

The Blazing Sun

Severance

A Tribute to Ivander Montane (Based off @/illarian-rambling's character)

SQL (a joke, mostly)

Misc:

Mahogany (IDK what genre)

God (Sci-fi)

Will you listen, please? (Sci-Fi)

Spirit of the Hole in the Wall (Horror)

An Explorer's Log (Sci-fi)

Heroes (Superhero)

False-Moon (Fantasy but unrelated to everything else)

Lantern (fantasy unrelated to anything else)

Envy (genreless)

Have a nice day! (Joke)

Grass (NSFW, gore)

Take and Give (horror)

How to Become a Hero (don't ask)

Little Men in Taps (joke)

The Smile of Misfortune (realistic fiction)

Christmas Special!! (Don't read this until you've checked out everything else lol)

Halloween Special (Horror)

A Dream (excerpt from my dream journal)

FAQ:

Q: I'm new to your work... Where should I start?

A: I would recommend The Spirit Emperor as an intro to the universe, and Old Friends as an intro to my writing style!

Q: What is your favourite work?

A: It's not similar to anything else I've written, and the last bits aren't that great, but I have a personal soft spot for Heroes

Q: Have you looked into the Void that lies beyond all things?

A: No. And I'd recommend you don't either.

[sproutystudies]

12/4/24

Now that I'm post-QE and not taking classes, I don't have to do any true studying for work/school, but I still have areas (work-related and otherwise) that I want to refresh on and improve on. As a result, I'm going to continue making some educational posts, but the subjects will shift towards spanish, bioinformatics + coding, and maybe even some statistics. This could include:

Spanish grammar guide (I made one of these for French in the past, so I could post that as well if people are interested?)

Data visualization with R

Intro to bash/unix

Intro to python

Intro to sql

Computing clusters and SSH

Statistical modeling (not my expertise but I want to learn more)

If anyone has opinions about what I should prioritize please do let me know!! While this is for my own learning, I want to share what others want to see!

Other things I'm working on lately include writing manuscripts, cloning some stubborn vectors, and soon making a website using github and jekyll :)

[the-kiarah-organisation]

how does the element stuff work in you system? Feel free to answer privately or not answer at all!

Thought I'd done a post on this already, I'll assume I didn't because I'm always looking for a way to talk about this xD

An Introduction To EleWe »

EleWe is our elements and weapons system, it runs off ten elements and ten weapons - so it has a hundred possible entries - and because only one member per entry, it also runs off Phases.

Phases are a group of a hundred members, a Phase has to be completely filled before a new one opens. Phase III is actually just about to open, and we pray this does not break our database, which was only designed for the first two Phases, because we didn't think we'd exceed two hundred members. (It shouldn't, right? O-o) (I'm not bad at coding, I'm sure it won't-)

The Database »

Just a small section on the database. Our database runs by having all possible combinations as an entry, and having columns for each Phase. When searching the database, we look for things like "element in (x)" and "phase x is empty" (that's in English, I'm not going to write SQL here lmao)

Elements »

Okay so, elements. As I said, there's ten total elements, these are:

Cosmica | Dark

Sonia | Sound

Hydria | Water

Glaciera | Ice

Flora | Plants

Aria | Air

Lumina | Light

Terra (prev Eartha) | Earth

Inferna | Fire

Electria | Electricity

Each one has reactions to other elements. I used to have a list, no clue where it went (probably died when my pc corrupted), so I'll do this from memory (o-o;)

Cosmica + Lumina = Detonate

Sonia + Aria = Diffuse

Sonia + Electria = Boost

Hydria + Glaciera = Freeze

Hydria + Aria = Storm

Hydria + Flora = Grow

Hydria + Inferna = Vaporise

Hydria + Electria = Conduct

Glaciera + Aria = Blizzard

Glaciera + Inferna = Melt

Glaciera + Electria = Conduct

Flora + Terra = Sprout

Flora + Inferna = Burn

Flora + Electria = Burgeon

Aria + Inferna = Stoke

This was originally designed with The Kansukki Project in mind.

This list (with the reaction names) was only ever used in The Kansukki Project, whereas The Kīara'h Project just uses the reactions (have some random trivia)

Weapons »

As also said in the intro, there are ten weapons! These are: (listed with general classification and explanation if needed)

Axe [Short Range]

Bow [Long Range]

Crossbow [Mid Range]

Combat [Short Range] | Hand to hand combat

Gem [Mid Range] | Magic

Knife [Short Range - Long Range] | Depending on if you can throw / previously throwing knives

Polearm [Mid Range] | Death stick :)

Scythe [Mid Range]

Staff [Long Range] | Long ranged gem

Sword [Mid Range]

There were originally eight weapons but apparently we got OCDed ¯\_(ツ)_/¯ (more trivia)

So.. How Does It Work? (And Why?) »

Each member is assigned one element and weapon combination, usually this is based on their past. Each member can only specialise in that element.

(except if they have a copycat ability, such as Amethyst who studied more than one element and use their Sonia to mimic other's elements)

For weapons, it's a little different. Most members only have one, and although some members may know other weapons, they only specialise in one.

Mostly, these will be used within stories and headspace, however some members may be able to wield their weapons in the outside world.

Energy »

Another part of EleWe is elemental energy, it lowers by using abilities/powers and when lowering, can cause members to not be able to cast spells, or even, if it gets extremely low, can impact their body and physical/mental energy and can't recover on its own.

(I won't touch on this too much because it's more or less its own thing.)

Technical Notes »

Element reaction names source: an old post we made on The Kansukki Project's server.

If I remember correctly, this is EleWe v6, (technically v5, but I'm calling it v6, because it will be soon with Phase III)

Most of this was originally done for The Kansukki Project, not The Kīara'h Project, but it has since been adapted.

Kuro from MeD wrote this post (and is very unqualified to write this post)

Hope this answers your ask? Lol

[luv-x-liv]

highly procrastinated intro post that i keep forgetting to do, so here we go

https://en.pronouns.page/@luvxliv

⊹₊⟡⋆ name + prns: olivia/liv || she/her

⊹₊⟡⋆ pan/ace

⊹₊⟡⋆ dni for the obvious reasons (like, if you're racist or homophobic or some shit like that)

⊹₊⟡⋆ hobbies: reading, writing, listening to music, honestly that's it (i have literally no personality, i fear)

⊹₊⟡⋆ books i like: harry potter (aka marauders lol) (fuck jkr tho), pjo (+ entire riordanverse), maze runner, kotlc, tsitp, the inheritance games (i have yet to read the grandest game btw)

⊹₊⟡⋆ artists i like (in order of my spotify stats): taylor swift, conan gray, sabrina carpenter, lorde, gracie abrams, olivia rodrigo, beabadoobee, noah kahan, alec benjamin, tate mcrae (my music taste is the epitome of basic, i fear)

⊹₊⟡⋆ i also love hamilton and six the musical

⊹₊⟡⋆ random facts about me: i'm working on a book; i'm a black belt in taekwondo; i don't really code but i know a bit of javascript, html, and sql; if i were someone from the marauders era, i'd 100% be remus; slytherin and child of apollo 🐍☀

that's it for now <3

[web-novel-polls]

Five Love Languages of Danmei: Flirting Bracket

Yuling from Everywhere in Jianghu is Wonderful

Characters: Qin Shaoyu and Shen Qianling

Submission:

I'm guessing few people know this couple especially considering good TL was deleted(sob) so first a quick intro: Shen Qianling is an actor from the modern world who transmigrated into a wuxia world. Worst part? The person he transmigrated as is engaged to a man! And the man is a huge weirdo! So Shen Qianling resolves to do everything in his power to break the engagement. You Can Guess How Well That Works Out for the MC of a danmei novel lol So the annoying flirt in question is exactly SQL's husband-to-be, Qin Shaoyu. He's constantly going "wife~" and making dramatic declarations of love... especially in front of others. Shen Qianling is onto his insincere ass! (They're really kinda theater kid x theater kid tbh, both are acting and pretending a lot.) Later it's actually revealed that Qin Shaoyu had a reason to act like that and provoke SQL all the time, but by that time SQL's (lack of) swag has deeply captivated him, so he just goes from annoying flirting(insincere) to annoying flirting(affectionate).

Additional Propaganda: Qin Shaoyu did not annoyingly flirt to the point of giving his (male) fiancé a pregnancy scare to lose the annoying flirt competition (via @verycharismaticdragon)

Carrd Link 

Manhua Screenshots

Liushen from The Scum Villain’s Self-Saving System

Characters: Liu Qingge and Shen Qingqiu (Shen Yuan)

Submission: 

SQQ loves to be Constantly Be Annoyingly Flirtatious to his poor, flustered shidi, though the jury is very still out on how much of that is intentional/he is aware he is doing. (Denial is not just a river in Egypt to Shen Yuan.)

["Anti-Propaganda" that attacks other characters is NOT allowed. Please only give reasons to vote FOR a character/ship.]

[dollsonmain]

Running through the intro to SQL course and it already makes a ton more sense to me than python, most likely because it presents what I'm managing as data as opposed to doing math and my brain short circuits when it's asked to do math but sorting and organizing things? sure.

[erisedscape]

1/30 Days of Productivity

🎧 mighty to save — hillsong worship

wake up early

yoga

learning task 1 : Abstract Classes and Interfaces 💬

learning task 2 : Intro to TOC 💬

oil pulling

plan the week

learning task 3: SQL Lecture 01 Relating

note: pray ▪︎ trust the process 🌱✨️

[gvtacademy]

Become a Job-Ready Data Analyst with AI – Join GVT Academy Today!

Are you ready to unlock a high-demand career in data analytics with the power of AI? At GVT Academy, we’ve designed a cutting-edge, industry-aligned Best Data Analyst Course with AI in Noida tailored to give you real-world skills that employers are actively hiring for!

Our comprehensive program is structured around 5 powerful modules that equip you with both technical mastery and analytical thinking to thrive in today’s data-driven world.

MODULE 1: Advanced Excel for Data Analysis

Excel is still king in the analytics world—and we take it to the next level. Learn to:

Work with complex formulas, functions & nested logic

Perform advanced data cleaning, sorting & filtering

Use PivotTables, Power Query, and dashboards like a pro

Automate repetitive tasks using dynamic tools

Hands-on projects will ensure you're confident using Excel for deep analysis in real-time business scenarios.

MODULE 2: VBA – Automate and Accelerate

Tired of manual work in Excel? This module introduces you to Visual Basic for Applications (VBA)—your gateway to automation.

Learn to:

Record and write custom macros

Create user-defined functions

Build interactive forms and automate reports

Handle large-scale data processing tasks effortlessly

Automate reports that used to take hours—in just seconds!

MODULE 3: SQL – Speak the Language of Databases

Databases power everything—from websites to businesses. SQL gives you the power to retrieve, manipulate, and analyze data like a pro.

In this module, you will:

Understand relational database concepts

Write powerful SQL queries to extract insights

Master JOINS, GROUP BY, subqueries, and more

Optimize queries for large datasets

Ideal for roles in business intelligence, analytics, and backend operations.

MODULE 4: Power BI – Visualize Data Like Never Before

No analysis is complete without impactful storytelling—and Power BI is your tool to do just that.

Learn how to:

Build stunning dashboards from scratch

Connect and transform live data sources

Use DAX formulas for dynamic calculations

Share interactive reports across platforms

Companies want insightful stories behind the data. We’ll help you deliver exactly that!

MODULE 5: Python – The Power Behind Modern Analytics & AI

From automation to AI, Python is the engine driving innovation in data.

You’ll learn:

Data wrangling using Pandas and NumPy

Data visualization using Matplotlib and Seaborn

Intro to Machine Learning with Scikit-learn

Automating workflows and processing files

Why Choose GVT Academy?

✅ 100% Practical Training✅ Industry-Recognized Certification✅ Capstone Projects & Portfolio Building✅ Placement Assistance with Resume Support✅ Flexible Learning Options – Online & Offline

Whether you're a student, working professional, or someone switching careers, this course is your ticket to a future-proof profession in data analytics.

Limited Seats Available!

Start your data journey today with GVT Academy’s Data Analyst Course with AI and stand out in the job market.

Learn. Analyze. Automate. Predict.With GVT Academy – where your data career begins. 

1. Google My Business: http://g.co/kgs/v3LrzxE

2. Website: https://gvtacademy.com

3. LinkedIn: www.linkedin.com/in/gvt-academy-48b916164

4. Facebook: https://www.facebook.com/gvtacademy

5. Instagram: https://www.instagram.com/gvtacademy/

6. X: https://x.com/GVTAcademy

7. Pinterest: https://in.pinterest.com/gvtacademy

8. Medium: https://medium.com/@gvtacademy

[govind-singh]

Unlock Your Future with the Best Data Analyst Course in Noida

In an increasingly data-driven world, the ability to analyze and interpret data has become one of the most sought-after skills across industries. Whether you're starting your career or transitioning into a new role, enrolling in a data analyst course in Noida can be a game-changer.

🚀 Why Pursue a Career in Data Analytics?

The global economy is fueled by data. From Fortune 500 companies to growing startups, organizations are leveraging data analytics to make smarter decisions, predict trends, and gain a competitive edge. As a result, skilled data analysts are in high demand.

Key Statistics:

📈 The data analytics industry is expected to grow at a CAGR of 30%+ by 2030.

💼 Data analyst roles rank among the top 10 most in-demand jobs globally.

💰 Average salary for entry-level data analysts in India: ₹5–8 LPA (source: Glassdoor).

📍 Why Choose Noida for Your Data Analyst Course?

Noida has rapidly emerged as one of India's top IT and tech education hubs. With a strong presence of tech companies, educational institutions, and job opportunities, Noida provides a perfect ecosystem for learning and career growth.

Benefits of choosing a data analyst course in Noida:

Access to industry-expert instructors with real-world experience

Exposure to corporate analytics projects and case studies

Proximity to top tech firms for internships and placements

Flexible learning options (online/offline/blended)

📚 What Does a Data Analyst Course Cover?

A professional data analyst course in Noida is structured to provide end-to-end training that prepares you for real-world challenges.

Core Modules Include:

📊 Data Analysis with Excel – Pivot tables, VLOOKUP, dashboarding

🔍 SQL for Data Extraction – Writing queries, joins, data manipulation

🐍 Python for Data Analysis – Pandas, NumPy, Matplotlib

📈 Statistics & Data Interpretation – Probability, hypothesis testing

📉 Data Visualization – Tableau, Power BI dashboards

🧠 Intro to Machine Learning – Regression, clustering, model evaluation

🏁 Capstone Project – Real-time business problem-solving

✅ Top Benefits of Taking a Data Analyst Course in Noida

Here’s what makes this investment worthwhile:

Benefit

Description

🎓 Industry-Relevant Curriculum

Learn what employers are actively seeking in candidates.

🛠️ Hands-On Learning

Apply concepts on real datasets and projects.

📜 Certifications

Gain globally recognized credentials upon course completion.

🧑‍💼 Placement Support

Resume building, mock interviews, and job referrals.

🌐 Professional Networking

Connect with peers, mentors, and industry leaders.

🕒 Flexible Schedule

Weekend and evening batches available for working professionals.

👥 Who Should Enroll?

Students aiming for a future in data or analytics

IT professionals looking to pivot into data roles

Marketing and finance professionals wanting to enhance data skills

Entrepreneurs and business owners interested in data-driven growth

📝 Conclusion

If you're serious about launching a successful and sustainable career in analytics, enrolling in a dais a ta analyst course in Noida strategic move. With the right training, tools, and support, you can transform your analytical abilities into a powerful career advantage.

[classbazaarpromos]

How to Learn Coding with Zero Background in 2025

In 2025, coding is no longer just for computer science grads—it’s for students, career-changers, and anyone curious about how tech works. With user-friendly platforms, structured paths, and strong communities, learning to code is more accessible than ever.

💡 Why Learn Coding Now?

In-demand Skill: From healthcare to marketing, coding is used to automate, analyze, and innovate.

Career Opportunities: High-paying jobs in AI, software development, and data science await.

Flexibility: Work remotely or freelance from anywhere.

No Degree Needed: Free, beginner-friendly platforms like Class Bazaar, CS50, and freeCodeCamp make it easy.

Creative Freedom: Build websites, apps, games—anything you can imagine.

Future-Proofing: Stay relevant in a digital world driven by AI and automation.

👩‍💻 Yes, You Can Learn Without a Tech Background!

People from all walks of life have successfully switched to tech with the right mindset, consistent practice, and beginner-friendly courses.

🛠 Top Languages for Beginners

Python: Easy syntax, great for web, automation, and AI.

HTML/CSS: Basics for building websites.

JavaScript: Adds interactivity to sites.

SQL: Manage and query databases.

Scratch: Visual language perfect for beginners.

📍 6-Step Roadmap to Learn Coding in 2025

Set clear goals (web dev, data, automation, etc.).

Choose beginner-friendly courses (like Class Bazaar).

Follow structured learning paths.

Build mini-projects (to-do app, portfolio site, etc.).

Join communities (Reddit, CodeNewbie, etc.).

Practice daily using interactive tools (Replit, W3Schools).

🎓 Best Courses for Absolute Beginners

CS50 (Harvard, edX): Broad intro to CS.

Google IT Automation with Python (Coursera).

Python for Everybody (Coursera, Univ. of Michigan).

MIT Intro to Programming (edX).

Complete 2025 Web Dev Bootcamp (Udemy).

❗ Avoid These Mistakes

Don’t jump across too many languages.

Don’t skip projects—build things!

Don’t isolate—ask questions, join forums.

Don’t give up—stick to a plan.

🎯 Stay Motivated

Use planners or tools like Notion.

Celebrate milestones.

Get an accountability buddy.

🔚 Final Thought

You don’t need a tech degree to start. All pros were once beginners. Set a goal, choose your first course, and start building your future. Explore beginner courses on Class Bazaar and take your first step into the world of coding.

[eagletflysolutions]

Data Science Courses in Patel Nagar

With this program, you can become a Data Analyst, Data Engineer, Data Scientist, or choose any other field in the same domain. The program also includes multiple free courses of data science, such as Database Systems Concepts, Intro to Data Science, SQL for Data Analysis, and many more. If you are not interested in various data science courses and want to earn a master’s degree in it, then this list of master’s program. It covers all the basics of data science and takes a step-by-step approach toward content delivery. This data science course is not like just any other course but an important step towards obtaining an online data science degree. Let’s learn data science online by enrolling in one of these online training for data science. Even though the program focuses on the foundation of data science, some experience is required to be able to take the course comfortably - Best data science institute in Patel Nagar.

We have many data analytics courses that are free to access via EdX. Dive deep into topics from data wrangling to linear regression and machine learning. If you’re hoping to specialize in data analytics or simply future-proof your career, a free online short course is a great way to get started. We hope this list of data analytics training courses gave you a good idea of the scope that’s available to you, no matter what stage of your career you’re currently at. Concentrating on computer and data science, applied math, and quantum computing, this is one of many such degrees aimed at preparing tomorrow’s data scientists for the high-tech economy - Online data analytics course in delhi.

We also offer a comprehensive paid Data Analytics Program that will take you from beginner to job-ready data analys. Challenge yourself with dynamic course content and get practical, real-world experience. We’ve got you covered, explore our disciplines within data science and analytics. Embark on a data-driven journey and kickstart your career with our accelerated Data Analyst. Our students can choose a Bachelor degree in Computing with a specialisation in Artificial Intelligence at undergraduate level. The module provides for coverage of a variety of statistical methods, including descriptive statistics and validating formulated hypotheses, as well as predictive analytics. A data analytics certificate program may fall under several possible academic departments, including business, professional studies, accounting, science and technology. This knowledge is critical for a wide range of careers and has real-world applications. For more information, please visit our site https://eagletflysolutions.com/ 

[imarticuslearning-course]

Data Science Course With Placement: Your Path to a Guaranteed Career 

If you're looking to break into the tech world with a promising future, a data science course with placement is your best bet. With the increasing demand for skilled data professionals across industries, choosing a job guarantee data science course ensures you don’t just learn—you get placed.

Unlike general certifications, these job-assured programs give you industry-relevant skills and full career support. Whether you're a fresh graduate or a working professional looking to pivot, this is your path to joining the top hiring companies.

Why Choose a Job Guarantee Data Science Course?

Choosing the right course can be overwhelming, but when you opt for a job guarantee data science course, you eliminate the guesswork. These programs are designed to give learners the confidence that their time and money are being invested wisely.

Here’s why a placement-assured course is worth your attention:

You get trained in real-time tools and techniques used in the industry.

You are guaranteed placement assistance or a job after course completion.

You receive mentorship, mock interviews, and profile-building support.

You can explore top data science job roles across various sectors.

You gain practical exposure with real datasets, not just theory.

Key Features of the Best Data Science Program India Offers

The right data science program India will not only cover technical content but also provide the right mix of projects, mentorship, and placement support.

Here’s a short introduction before we go into the features:

With hundreds of online and offline courses out there, the best ones stand out with a hands-on, practical, and career-ready approach. Here's what to look for:

Live sessions by industry experts

Interactive assignments and case studies

Capstone projects with real data

Certifications from recognised institutes

Soft skills and interview training

Personalised mentorship and doubt-clearing sessions

Access to hiring networks and job portals

What You’ll Learn in a Data Science Course With Placement

In these courses, you get an all-around understanding of core and advanced concepts. From basics to expert-level skills, the journey is structured for real-world use cases.

Here's a 50-word explanation:

The course helps you build a strong foundation and then dive deep into complex tools and techniques. You’ll develop both technical expertise and analytical thinking required in top data science job roles.

You’ll master:

Python, SQL, R Programming

Statistics and Probability

Machine Learning Algorithms

Data Visualisation using Tableau & Power BI

Model Deployment and Cloud Tools

Big Data and NLP Basics

Git, GitHub, and Docker for Version Control

Career Support: From Training to Placement

The real value of a data science course with placement lies in its career support. These programs don’t stop at teaching—they help you land a job.

Here’s a brief before the bullet points:

Don’t worry. You’ll be supported throughout your career journey. From creating your first resume to preparing for technical interviews, you’ll be guided every step of the way.

Career services typically include:

1:1 Career Coaching and Guidance

Resume and LinkedIn Profile Building

Mock Interviews with Feedback

HR and Technical Interview Training

Access to Hiring Drives

Job Tracking and Application Support

Top Data Science Job Roles You Can Get

Once you complete a job guarantee data science course, a range of high-paying, in-demand roles becomes available to you. You’re not restricted to one career path.

Here’s a short 50-word intro:

Data science is a vast domain with various subfields. Depending on your strengths, you can explore roles in analytics, engineering, or research.

Some top roles include:

Data Analyst

Data Scientist

Machine Learning Engineer

Business Intelligence Analyst

Data Engineer

NLP Specialist

AI/ML Research Associate

Which Companies Hire Data Science Talent?

The biggest reason learners opt for a data science course with placement is access to top hiring companies. These companies value candidates from structured, career-focused programs.

Here’s a 50-word intro:

Well-established training institutes have direct tie-ups with hiring partners. These companies actively recruit from such courses because the learners are job-ready and well-trained.

Some top recruiters include:

Accenture

EY

TCS

Wipro

Deloitte

Infosys

Flipkart

Capgemini

IBM

Tech Mahindra

What Makes a Job Guarantee Data Science Course Different?

While many courses teach data science, very few back it up with job assurance. A job guarantee data science course is structured with real accountability.

Let’s understand what makes them different:

Placement is contractually promised after course completion.

No placement = Refund clauses in select institutes.

Programs continue mentoring you until you're placed.

Personalised career plans and ongoing support make success more likely.

Real-time performance tracking ensures your progress is monitored.

These features build trust, especially for learners investing time and resources to switch or grow in their careers.

How to Choose the Right Data Science Program in India?

When selecting a data science program India offers, look for transparency and outcomes. Not every course offers real job assurance or access to the top hiring companies.

Here’s a quick 50-word explanation:

With so many options, you need to be smart about picking the right program. Make sure the course includes practical training, experienced mentors, live sessions, and strong placement records.

Checklist before enrolling:

Does it offer 100% job assurance in writing?

Are the trainers industry professionals?

Are career services included?

Is it a project-based curriculum?

Are they tied up with recruitment partners?

FAQs

Q1. Can a non-tech person do a data science course with placement? Yes, why not! Many courses are beginner-friendly and start with the basics. A background in maths or logic is helpful but not mandatory.

Q2. What’s the duration of a job guarantee data science course? Most full-time programs range from 4 to 9 months. Some part-time or weekend options extend up to a year.

Q3. Is job guarantee really reliable? If you enrol with a reputed institute, the job assurance is contractually promised, making it dependable and risk-free.

Q4. Do these courses provide interview preparation? Yes, these programs majorly include resume writing, mock interviews, and even direct placement support through hiring partners.

Q5.  What is the salary expectation after completing this course? Entry-level roles typically start at ₹4–6 LPA, but with experience and project exposure, you can grow fast to ₹10+ LPA roles.

Conclusion

If you're serious about building a career in tech- choosing a data science course with placement is indeed  a smart move. With structured training, real-world projects, and solid career support, you're more likely to land roles in top companies. Make sure to pick a job guarantee data science course that offers the right data science program India needs—practical, guided, and future-ready.

[sonadukane]

Why Learning Data Science in 2025 is a Smart Career Move (Even Without a Tech Background)

Let’s get one thing straight: you don’t need to be a coder, a math genius, or have a tech degree to become a data scientist in 2025. In fact, many successful data professionals today came from totally different fields like marketing, HR, sales, finance, and even teaching.

And guess what? Data science is more accessible than ever.

If you're thinking about switching careers, upskilling, or just curious if this path is right for you, this blog will break it all down for you.

💡 Why Everyone's Talking About Data Science in 2025

Let’s look at a few numbers:

LinkedIn listed “Data Scientist” as one of the most in-demand jobs in 2025

IBM predicts 11.5 million new data science jobs by 2026

Average salary? Easily ₹8–20 LPA in India and over $100K+ abroad

But here’s the real kicker: companies no longer want just coders. They want problem-solvers, people who can think critically, communicate insights, and understand business needs. That’s where you can fit in.

🧠 “But I Don’t Have a Tech Background…”

Good news, you’re not alone, and you’re not late. Thousands of learners are breaking into data science from:

Marketing (to become data-driven marketers)

Finance (to move into FinTech or risk analytics)

HR (to do people analytics and workforce planning)

Healthcare (to transition into health data analysis)

Education (to explore edtech and learning analytics)

If you’re curious, willing to learn, and enjoy solving real-world problems, you’re already halfway there.

🛠️ What Skills You Actually Need to Start

Let’s demystify the skillset:

✅ Basic Python – You can learn this in a few weeks. No coding background? That’s fine. It’s like English for computers. ✅ Math (Just Enough) – You don’t need a PhD. Basic stats and logic are enough to start. ✅ Excel, SQL – You likely already use Excel. SQL is just asking questions to a database. ✅ Curiosity – The most important skill. If you love asking “why” or finding patterns, you’ve got the mindset.

🚀 The Best Way to Learn (Especially for Beginners)

Instead of wasting hours piecing together YouTube tutorials and blog posts, go for a structured course that takes you from zero to job-ready.

We recommend starting with the Intellipaat Data Science course – especially if you:

Have no tech background

Learn best through real-world projects

Need step-by-step guidance + mentorship

Want certification + career support

🎓 Watch the free course intro here

📈 Real Stories: From Non-Tech to Data Pro

Shruti, a marketing analyst, transitioned to a data scientist role after 6 months of learning part-time.

Anil, a mechanical engineer, cracked his first data analyst job in manufacturing.

Priya, a school teacher, now works in edtech, analyzing student performance data.

No CS degree. No prior coding. Just consistent learning and the right resources.

✅ So, Is 2025 the Year to Start?

Absolutely. With tools becoming no-code, AI assistants simplifying workflows, and businesses relying more on data—you have a golden opportunity.

Whether you're looking for a career switch, remote flexibility, or better pay, data science checks all the boxes.

🔗 Ready to Begin?

If you’re ready to stop overthinking and start learning, check out the Intellipaat Data Science Course. You’ll go from complete beginner to confident data professional—no tech degree needed.

Final Thought: You don’t need to be technical. You just need to be curious. And in 2025, curiosity pays really well.

[fancylone]

Your Gateway to the Data-Driven World: Data Analytics Training in Kerala by Zoople Technologies

In a world powered by data, mastering analytics has become more than just an advantage — it’s a necessity. Zoople Technologies, one of Kerala’s premier software training institutes, offers a cutting-edge Data Analytics training program that transforms learners into job-ready data professionals.

🔍 Course Overview

Zoople’s Data Analytics training is designed to provide both foundational knowledge and hands-on skills in key areas of data science. The curriculum is carefully curated to suit fresh graduates, working professionals, and career changers alike.

🧠 What You’ll Learn:

Foundations of Data Analytics: Understand data types, data lifecycle, and the role of analytics in decision-making.

Statistical Analysis: Learn descriptive and inferential statistics critical for interpreting data.

Excel for Analytics: Clean, organize, and analyze data using advanced Excel features.

SQL: Master database querying to retrieve and manipulate data effectively.

Python Programming: Use libraries like Pandas, NumPy, and Matplotlib for data analysis and visualization.

Power BI: Build dynamic dashboards and visual reports.

AWS Introduction: Understand cloud integration in analytics.

Intro to Machine Learning: Explore real-world ML applications with supervised and unsupervised learning.

🚀 Why Zoople Technologies?

Expert Faculty with industry experience

Live Projects for real-world exposure

Job-Oriented Training with mock interviews & resume workshops

Lifetime Placement Assistance

Industry Certification that enhances credibility and job prospects

📍 Location

Institute: Zoople Technologies, Vytilla, Kochi – Kerala’s tech hub

Whether you're looking to land your first job in analytics or upgrade your skills for better opportunities, Zoople Technologies provides the tools, mentorship, and industry exposure to launch a successful data career.

[web-novel-polls]

Have You Read This Web Novel?

If you’re in the process of reading this web novel, please choose whichever option best fits your situation. You do not have to be completely finished with it to answer “yes.”

If you’ve never heard of it, please read the description below the cut!

See similar polls and results here!

Novel Updates:

At 22 years of age, Shen Qian Ling won his first Best Male Lead award. Afterwards just as he, holding the award, was moved to tears, a piece of the ceiling fell down loudly, and accurately hit his head without mistake. And afterwards he just…..traveled through time! Qin Shao Yu: If Ling-er is willing, the Dominion of Shadow Chasers can have the wedding anytime. Shen Qian Ling: To be honest, I am extremely reluctant about this.

Submitted Propaganda from Five Love Languages of Danmei Tournament: Flirting Bracket -

I'm guessing few people know this couple especially considering good TL was deleted(sob) so first a quick intro: Shen Qianling is an actor from the modern world who transmigrated into a wuxia world. Worst part? The person he transmigrated as is engaged to a man! And the man is a huge weirdo! So Shen Qianling resolves to do everything in his power to break the engagement. You Can Guess How Well That Works Out for the MC of a danmei novel lol So the annoying flirt in question is exactly SQL's husband-to-be, Qin Shaoyu. He's constantly going "wife~" and making dramatic declarations of love... especially in front of others. Shen Qianling is onto his insincere ass! (They're really kinda theater kid x theater kid tbh, both are acting and pretending a lot.) Later it's actually revealed that Qin Shaoyu had a reason to act like that and provoke SQL all the time, but by that time SQL's (lack of) swag has deeply captivated him, so he just goes from annoying flirting(insincere) to annoying flirting(affectionate).

Extra: Carrd