#data-analytics

[victusinveritas]

[orgcommunity2015]

Top Digital Trends of 2024 and How to Prepare for 2025 

As we approach the end of 2024, our latest. orgSource Digital Trends Survey has shed light on the forces shaping the association landscape. Associations are at a pivotal moment, where adapting to digital trends will determine how well they thrive in 2025 and beyond. The insights from our survey offer a roadmap for aligning strategy, culture, and technology to stay resilient and agile in a rapidly…

[graphics-designingg]

Affordable and Industry-Ready Data Analytics Course in Rohini

In today’s data-driven world, businesses, governments, and organizations depend heavily on accurate insights to make decisions. Data analytics has become essential in almost every industry, from retail and healthcare to finance and technology. If you want to thrive in this fast-growing domain, enrolling in a Data Analytics Course is a game-changer.

This article will walk you through what data analytics is, why it’s critical, and how enrolling in the right course can help you advance your career. Our specialized Data Analytics Course in Rohini, Delhi, is designed to empower students and professionals with in-demand skills and hands-on experience, ensuring you are job-ready from day one.

What is Data Analytics?

Data analytics is the science of analyzing raw data to extract meaningful insights, patterns, and trends. The objective is to transform data into actionable insights to improve business performance, make better decisions, and predict future outcomes.

This process involves several stages:

Data Collection: Gathering data from various sources (internal systems, surveys, sensors, etc.).

Data Cleaning and Preparation: Eliminating errors, missing values, and inconsistencies to ensure high-quality data.

Data Analysis: Using statistical, mathematical, and computational techniques to identify patterns.

Visualization: Representing data in the form of charts, graphs, and dashboards for better understanding.

Interpretation and Decision-Making: Using insights to guide business strategies or predictions.

Industries that adopt data analytics achieve improved efficiency, reduce risks, and increase profits, making it a critical tool for both companies and individuals.

Career Opportunities in Data Analytics

Data analytics is a versatile field, with numerous job roles and industries actively hiring skilled professionals. Here are some popular roles you can pursue after completing a data analytics course:

Data Analyst

Analyzes datasets to draw insights and trends. Creates visual reports for stakeholders.

Business Analyst

Bridges the gap between business needs and technical solutions using data-driven insights.

Data Scientist

Develops predictive models using machine learning and deep learning algorithms.

Data Engineer

Builds and maintains data pipelines for the smooth flow of information.

Marketing Analyst

Analyzes customer behavior to enhance marketing strategies.

Healthcare Data Analyst

Uses patient data to optimize hospital management and improve healthcare outcomes.

According to various industry reports, the demand for data professionals is projected to grow exponentially over the next decade. Whether you are a fresher or an experienced professional looking for a career switch, acquiring data analytics skills opens a world of opportunities.

Overview of the Data Analytics Course in Rohini

Our Data Analytics Course is meticulously designed to cover all essential aspects, from the basics to advanced analytics. Here’s what makes our course unique:

Comprehensive Curriculum The curriculum includes modules on:

Data Handling with Excel and SQL

Data Cleaning and Transformation Techniques

Statistical Analysis using Python/R

Data Visualization with Power BI and Tableau

Machine Learning Fundamentals

Real-World Projects and Case Studies

Practical, Hands-On Approach You will work on real datasets and industry-relevant projects to understand practical applications. We emphasize practice so that you gain confidence in applying your skills to actual problems.

Experienced Faculty Our trainers are industry experts with years of experience in data analytics, offering you valuable insights into real-world challenges and solutions.

Placement Assistance and Certification Upon course completion, you will receive a recognized certificate that adds value to your resume. Our placement team will also help you prepare for job interviews, offering mock tests and resume-building workshops.

Who Should Enroll in This Course?

This Data Analytics course is suitable for :

Fresh Graduates looking for lucrative career options. Working Professionals aiming for a career transition into data analytics or data science. Entrepreneurs and Business Owners who want to leverage data for better decision-making. Students from Non-Technical Backgrounds who want to break into the tech industry with ease.IT Professionals seeking to enhance their skills with analytics and business intelligence tools.

No prior experience in coding or statistics is required. We offer introductory modules that will guide you from the basics to advanced concepts.

Skills You Will Learn

By the end of this course, you will acquire the following in-demand skills:

Data Cleaning and Manipulation: Handling missing data and ensuring data accuracy. Statistical Analysis: Performing descriptive and inferential statistics. SQL Querying: Extracting and manipulating data from relational databases. Programming in Python/R: Automating data tasks and building predictive models. Visualization Tools: Creating stunning dashboards using Power BI, Tableau, and Excel. Machine Learning Fundamentals: Building basic predictive models for real-world applications. Soft Skills: Enhancing analytical thinking and communication skills for presenting data-driven insights effectively.

Advantages of Learning Data Analytics

Our center, located in the bustling area of Ayodhya Chowk, Sector 3, Rohini, offers a vibrant learning environment. Here’s why choosing us benefits you:

Convenient Location: Easy access via public transport makes commuting hassle-free. State-of-the-Art Infrastructure: Equipped with modern labs and tools for seamless learning. Small Batch Sizes: Personalized attention from instructors ensures a better learning experience. Flexible Timings: We offer both weekend and weekday batches to fit your schedule. Networking Opportunities: Meet like-minded professionals and industry experts to build your network.

Course Structure and Timeline

Duration: 4-6 months (Flexible learning schedules available) Mode of Learning: Classroom Training + Online Access to Resources

Week 1-4: Introduction to Data Analytics and Data Handling Techniques Week 5-8: Statistical Analysis with Python and R Week 9-12: SQL for Data Extraction and Transformation Week 13-16: Data Visualization with Tableau and Power BI Week 17-20: Introduction to Machine Learning and Case Studies Week 21-24: Project Work, Mock Interviews, and Certification

Student Testimonials

"The course gave me hands-on experience with Python and SQL, which helped me secure a job as a Data Analyst within two months of completing the course." — Ritu Sharma, Alumni

"I was from a non-technical background, but the instructors made the learning process smooth and engaging. I now work as a Business Analyst and couldn’t be happier!" — Sameer Verma, Alumni

How to Enroll

Joining our Data Analytics Course is easy! Just follow these steps:

Contact Us at 9811128610 to know more about the course fees, batch timings, and discounts. Visit Us at our center located at H-34/1, 1st Floor, near Ayodhya Chowk, Sector 3, Rohini, Delhi. Register Online: You can also enroll via our website (if available) or by visiting us in person.

Conclusion

In a world where data reigns supreme, having data analytics skills gives you a significant advantage in the job market. Whether you aim to land a high-paying job or use data to grow your business, our Data Analytics Course in Rohini, Delhi, equips you with the knowledge and tools you need to succeed.

Take the first step towards building a brighter future. Contact us at 9811128610 or visit us at H-34/1, 1st Floor, near Ayodhya Chowk, Sector 3, Rohini, Delhi, to learn more about this transformative learning opportunity.

[jonathonpoe]

Pivot Table 101

Creating a pivot table in Excel allows you to summarize and analyze large datasets in a concise format. Here’s a step-by-step guide on how to create a pivot table: 1. Prepare Your Data Ensure your data is organized: Your data should be in a table format, with each column having a header/name at the top. Avoid blank rows and columns: This ensures the pivot table includes all your data…

[charl0ttan]

*eyes welling up with tears* death and killing and dying and being dead and killing everyone. i think id like that very much

[wisteriagoesvroom]

got jumpscared by these ‘cus it looks like he is a junior analyst at an investment bank

from mclaren’s ig

[cuecrynsleep]

Smosh Video Stats from January 1 - June 30

Smosh Pit

Smosh Games

Smosh Overall

-Marathons weren’t included in the count as those were filmed in 2023.

-This is to recount how often we see Smosh members in half a year, despite this being made in August.

-The Smosh main announcement + Smosh sitcom trailer was included in the count.

-The count is based off of the desc. of who appears in every video.

-Lives and Members Exclusive videos aren’t included in the count.

-Angela & Chanse were credited for the tell-all episode of Smosh Mouth despite the desc. saying Amanda & Shayne.

[atomic47]

Im a bit late but I did a thing and made an Ao3 wrapped, I liked crunching the numbers :3

[chica-de-costa]

reply to @bini-kei (this is not hate, i purely have statistics to display)

[Additional information; i am very passionate about statistics and mathematics, this is purely a chance for me to further engage this, provide information, and prove a point. All my data is drawn from Wikipedia and UCLA statistics]

I am using the term "Queer" as someone who falls under the LGBT+ umbrella, rather than as a synonym for "weird" by Oxford definition.

--

The original post made stated as so;

"To the person who said that making all the pjo characters queer is unrealistic:

Making all of them straight is unrealistic too"

My contradicting point is as following;

It is not unrealistic, but rather the chances of the majority of the characters being queer in some form goes against most statistics.

I am not homophobic, i just need an opportunity to talk about data and statistics and debate in some way. I really love statistics and probability.

--

Gallup 2014 statistics state that 4.5% of adult-americans identify as queer in some way, and general surveys spanning over multiple years from western cultures "find, on average, that about 93% of men and 87% of women identify as completely heterosexual".

Now this is purely in western culture, but to narrow down the statistics to make this as accurate as possible, i will draw data from individual states and countries, and mainly focus on the 7 + Nico and Will.

Going in alphabetical order;

Annabeth Chase.

The Riordan wiki states that she is originally from Virgina with a swedish background, but i will focus on her place of origin being Virgina now.

5.9% of adults in Virgina identify as queer, meaning that statistically, the chances of Annabeth being queer, are 5.9%.

The population of Virgina is 8,624,511 as of 2022, though the data was collected in 2021, meaning it is not outdated.

5.9% of 8,624,511 ≈ 50,8846

Frank Zangh

A survey conducted by SC [statistics Canada] in 2014 stated that 4% of the adult population in canada identified as queer in some way - or "LGBT" as stated in the survey.

This means that the chances of Frank being queer are 4%.

To spare you time, these are all the data collected (holding Nico and Hazel for purposes i will explain)

Annabeth Chase - 5,9% Frank Zangh - 4% Jason/Thalia Grace - 9.3% Leo Valdez - 5.1% Percy Jackson - 5.5% Piper Mclean - 6% Will Solace - 5.1%

Now since both Hazel and Nico are from the 1930's - 1940's, gathering data from that period of time was very difficult. Little to no data was collected from this period of time as Homosexual marriages and/or activities were either highly discouraged, unrecognised, or banned in the majority of places (with the exception of the Faroe islands, Greenland, Sweden, Poland, Etc.)

With modern data it would state as following;

Hazel Levesque - 5.7% Nico Di Angelo - 2.4% (with some contradictions)

Ultimately, adding all of these changes together give us 5,4%

Which gives us the average percentage for the chances of the desired outcome, and i will use this cause Lord i am so tired of all of these equations i've been doing - you have no idea.

Now, the chances of every each of the 9 being queer, is approximately

0.0000000073%.

[j0shm0]

Currently in a "love"/"hate" relationship with James Vowels if all the reports coming out of the media about Logan and true right now.

You can scroll through my posts and see how good Logan has been doing all year.... especially when you consider his car never gets upgraded and has been way over weight compared to his competitors.

But what has James done since Bahrain? Nothing but talk crap to the media about Logan. Took his car away in Australia, constantly let's rumors fly and starts them about replacing him, spent all of his energy chasing Sainz and then gushing about him to anyone with a Mic.

Like damn James what the hell did you expect Logan to do? Further more the fact that he refuses to acknowledge Logan is indeed performing with a cement brick of a car is so sad.

Logan has crashed twice all year, which is a major improvement.

[eggshellsareeat]

Big fan of @wouldyoufuckthisfurry, so here's an impromptu chart of the furries thus far!

Data disclaimer: this chart contains both ongoing polls and completed polls, and compares the two indiscriminately

[turns-out-its-adhd]

AI exists and there's nothing any of us can do to change that.

If you have concerns about how AI is being/will be used the solution is not to abstain - it's to get involved.

Learn about it, practice utilising AI tools, understand it. Ignorance will not protect you, and putting your fingers in your ears going 'lalalala AI doesn't exist I don't acknowledge it' won't stop it from affecting your life.

The more the general population fears and misunderstands this technology, the less equipped they will be to resist its influence.

[saraharveypatrick]

Ninja, robots, pirates, magic

I made an interactive visualization on the 100 most popular comics at the Brooklyn Public Library for January 2025. The full 100 is also here on Medium. Top manga 1. Demon slayer = Kimetsu no yaiba Volume 1 by Koyoharu Gotoge, 2019 2. One piece by Eiichirō Oda, 2023 3. Spy x family. 1, Mission 1 by Tatsuya Endo, 2020 4. My hero academia. Vol. 1, Izuku Midoriya: Origin by Kōhei Horikoshi, 2015 5. Spy x family. Vol. 12 by Tatsuya Endō, 2024 6. Demon slayer. 23, Life shining across the years by Koyoharu Gotoge, 2021 7. Naruto. Vol. 1, The tests of the ninja by Masashi Kishimoto, 2023 8. Jujutsu kaisen. Volume 1, Ryomen Sukuna by Gege Akutami, 2019 9. Spy x family. Volume 11 by Tatsuya Endō, 2024 10. Dragon ball super. 1, Warriors from Universe 6! by Akira Toriyama, 2017

Top Marvel checkouts

Guardians of the Galaxy Volume 3, DVD, 2023

Ant-Man and the Wasp: Quantumania, DVD, 2023

Miles Morales, Straight out of Brooklyn by Saladin Ahmed, 2019

Black Panther: Wakanda Forever, DVD, 2021

Spider-Man: No Way Home, DVD, 2022

Doctor Strange in the Multiverse of Madness, DVD, 2022

Ms. Marvel. 1, No normal by G Willow Wilson, 2014

Spider-Man. Vol. 1, Miles Morales by Brian Michael Bendis, 2016

Thor: Love and Thunder, DVD, 2022

Other graphic novels

Heartstopper Volume 5 by Alice Oseman, 2023

Heartstopper Volume 2 by Alice Oseman, 2020

Heartstopper Volume 3 by Alice Oseman, 2021

Heartstopper Volume 4 by Alice Oseman, 2021

The Girl From the Sea by Molly Knox Ostertag, 2021

The Twisted Ones by Scott Cawthon, 2021

Five Nights at Freddy’s, Fazbear Frights, The Fourth Closet by Chris Hastings, 2022

Heartstopper Volume 1 by Alice Oseman, 2020

Five Nights at Freddy’s, Fazbear Frights, Graphic Novel Collection Vol. 1 by Scott Cawthon, 2022

The Princess and the Grilled Cheese Sandwich by Deya Muniz, 2023

[hackeocafe]

How To Learn Math for Machine Learning FAST (Even With Zero Math Background)

I dropped out of high school and managed to became an Applied Scientist at Amazon by self-learning math (and other ML skills). In this video I'll show you exactly how I did it, sharing the resources and study techniques that worked for me, along with practical advice on what math you actually need (and don't need) to break into machine learning and data science.

[herpersonafire]

Hey everyone! enjoying my (two) week break of uni, so I've been lazy and playing games. Today, working on Python, I'm just doing repetition of learning the basics; Variables, Data types, Logic statements, etc. Hope everyone has a good week!