𝗙𝗥𝗘𝗘 𝗧𝗔𝗧𝗔 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽😍

Gain Real-World Data Analytics Experience with TATA – 100% Free!

This free TATA Data Analytics Virtual Internship on Forage lets you step into the shoes of a data analyst — no experience required!

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3FyjDgp

Enroll For FREE & Get Certified🎓️

𝟰 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗙𝗿𝗲𝗲 𝗥𝗼𝗮𝗱𝗺𝗮𝗽𝘀 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗔𝗜/𝗠𝗟 & 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 😍

Learn Tech the Smart Way: Step-by-Step Roadmaps for Beginners🚀

Learning tech doesn’t have to be overwhelming—especially when you have a roadmap to guide you!📊📌

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/45wfx2V

Enjoy Learning ✅️

100 Days Data Science Challenge 👆

𝟴 𝗕𝗲𝘀𝘁 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗠𝗜𝗧 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱😍

🎓 Learn Data Science for Free from the World’s Best Universities🚀

Top institutions like Harvard, MIT, and Stanford are offering world-class data science courses online — and they’re 100% free. 🎯📍

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/3Hfpwjc

All The Best 👍

Free Datasets to work on Power BI + SQL projects 👇👇

1. AdventureWorks Sample Database:
- Link: [AdventureWorks Sample Database](https://docs.microsoft.com/en-us/sql/samples/adventureworks-install-configure?view=sql-server-ver15)
- Description: A sample database provided by Microsoft, containing sales, products, customers, and other related data.

2. Online Retail Dataset:
- Link: [UCI Machine Learning Repository - Online Retail Dataset](https://archive.ics.uci.edu/ml/datasets/online+retail)
- Description: Transactional data from an online retail store, suitable for customer segmentation and sales analysis.

3. Supermarket Sales Dataset:
- Link: [Supermarket Sales Dataset](https://www.kaggle.com/aungpyaeap/supermarket-sales)
- Description: Sales data from a supermarket, useful for inventory management and sales performance analysis.

4. Yahoo Finance (Historical Stock Data):
- Link: [Yahoo Finance](https://finance.yahoo.com/)
- Description: Historical stock data for various companies, suitable for financial analysis and visualization.

5. Human Resources Analytics: Employee Attrition and Performance:
- Link: [Kaggle HR Analytics Dataset](https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-attrition-dataset)
- Description: Employee data including demographics, performance, and attrition information, suitable for employee performance analysis.

Bonus Open Sources Resources: https://t.iss.one/DataPortfolio/16

These datasets are freely available for practicing Power BI and SQL skills. You can download them from the provided links and import them into your SQL database management system (e.g., MySQL, SQL Server, PostgreSQL) for hands-on ☺️💪

𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗶𝗻 𝗝𝘂𝘀𝘁 𝟯 𝗠𝗼𝗻𝘁𝗵𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗶𝘀 𝗙𝗿𝗲𝗲 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗼𝗮𝗱𝗺𝗮𝗽😍

🎯 Want to Master Data Science in Just 3 Months?📊

Feeling overwhelmed by the sheer volume of resources and don’t know where to start? You’re not alone🚀

𝐋𝐢𝐧𝐤👇:-

https://pdlink.in/43uHPrX

This FREE GitHub roadmap is a game-changer for anyone✅️

👉The Ultimate Guide to the Pandas Library for Data Science in Python
👇👇

https://www.freecodecamp.org/news/the-ultimate-guide-to-the-pandas-library-for-data-science-in-python/amp/

A Visual Intro to NumPy and Data Representation
.
Link : 👇👇
https://jalammar.github.io/visual-numpy/

Matplotlib Cheatsheet 👇👇

https://github.com/rougier/matplotlib-cheatsheet

SQL Cheatsheet 👇👇

https://websitesetup.org/sql-cheat-sheet/

𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗛𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀😍

𝗔𝗽𝗽𝗹𝘆 𝗟𝗶𝗻𝗸𝘀:-👇

S&P Global :- https://pdlink.in/3ZddwVz

IBM :- https://pdlink.in/4kDmMKE

TVS Credit :- https://pdlink.in/4mI0JVc

Sutherland :- https://pdlink.in/4mGYBgg

Other Jobs :- https://pdlink.in/44qEIDu

Apply before the link expires 💫

If you're a software engineer in your 20s, beware of this habit, it can kill your growth faster than anything else.

► Fake learning.

It feels productive, but it's not.

Let me give you a great example:

You wake up fired up.
Open YouTube, start a system design video.
An hour goes by. You nod, you get it (or so you think).
You switch to a course on Spring Boot. Build a to-do app.
Then read a blog on Kafka. Scroll through a thread on Redis.
By evening, you feel like you’ve had a productive day.

But two weeks later?

You can’t recall a single implementation detail.
You haven’t written a line of code around those topics.
You just consumed, but never applied.

That’s fake learning.

It’s learning without doing.
It gives you the illusion of growth, while keeping you stuck.

📌 Here’s how to fix it:

Watch fewer tutorials. Build more things.
Learn with a goal: “I’ll use this to build X.”

After every video, write your own summary.
Recode it from scratch.

Start documenting what you really understood vs. what felt easy.

Real growth happens when you struggle.
When you break things. When you debug.

Passive learning is comfortable.
But discomfort is where the actual skills are built.

Your 20s are for laying that solid technical foundation.
Don’t waste them just “watching smart.”

Build. Ship. Reflect.
That’s how you grow.

Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502

ENJOY LEARNING 👍👍