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MS Excel for Data Analysis MS Excel for Data Analysis @excel_analyst · 73.2K subscribers
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If you’re just starting out in Data Analytics, it’s super important to build the right habits early.

Here’s a simple plan for beginners to grow both technical and problem-solving skills together:

If You Just Started Learning Data Analytics, Focus on These 5 Baby Steps:

1. Don’t Just Watch Tutorials — Build Small Projects

After learning a new tool (like SQL or Excel), create mini-projects:

- Analyze your expenses

- Explore a free dataset (like Netflix movies, COVID data)


2. Ask Business-Like Questions Early

Whenever you see a dataset, practice asking:

- What problem could this data solve?

- Who would care about this insight?


3. Start a ‘Data Journal’

Every day, note down:

- What you learned

- One business question you could answer with data (Helps you build real-world thinking!)


4. Practice the Basics 100x

Get very comfortable with:

- SELECT, WHERE, GROUP BY (SQL)

- Pivot tables and charts (Excel)

- Basic cleaning (Power Query / Python pandas)


_Mastering basics > learning 50 fancy functions._

5. Learn to Communicate Early

Explain your mini-projects like this:

- What was the business goal?

- What did you find?

- What should someone do based on it?

React with ❤️ if you need a beginner-friendly roadmap to start your data analytics career

Data Analytics Free Resources: https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02

ENJOY LEARNING 👍👍
  • ❤ 8
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