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๐‡๐จ๐ฐ ๐ญ๐จ ๐๐ซ๐ž๐ฉ๐š๐ซ๐ž ๐ญ๐จ ๐๐ž๐œ๐จ๐ฆ๐ž ๐š ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ญ

๐Ÿ. ๐„๐ฑ๐œ๐ž๐ฅ- Learn formulas, Pivot tables, Lookup, VBA Macros.

๐Ÿ. ๐’๐๐‹- Joins, Windows, CTE is the most important

๐Ÿ‘. ๐๐จ๐ฐ๐ž๐ซ ๐๐ˆ- Power Query Editor(PQE), DAX, MCode, RLS

๐Ÿ’. ๐๐ฒ๐ญ๐ก๐จ๐ง- Basics & Libraries(mainly pandas, numpy, matplotlib and seaborn libraries)

5. Practice SQL and Python questions on platforms like ๐‡๐š๐œ๐ค๐ž๐ซ๐‘๐š๐ง๐ค or ๐–๐Ÿ‘๐’๐œ๐ก๐จ๐จ๐ฅ๐ฌ.

6. Know the basics of descriptive statistics(mean, median, mode, Probability, normal, binomial, Poisson distributions etc).

7. Learn to use ๐€๐ˆ/๐‚๐จ๐ฉ๐ข๐ฅ๐จ๐ญ ๐ญ๐จ๐จ๐ฅ๐ฌ like GitHub Copilot or Power BI's AI features to automate tasks, generate insights, and improve your projects(Most demanding in Companies now)

8. Get hands-on experience with one cloud platform: ๐€๐ณ๐ฎ๐ซ๐ž, ๐€๐–๐’, ๐จ๐ซ ๐†๐‚๐

9. Work on at least two end-to-end projects.

10. Prepare an ATS-friendly resume and start applying for jobs.

11. Prepare for interviews by going through common interview questions on Google and YouTube.

I have curated top-notch Data Analytics Resources ๐Ÿ‘‡๐Ÿ‘‡
https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02

Hope this helps you ๐Ÿ˜Š
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