Post #1504

𝐇𝐨𝐰 𝐭𝐨 𝐏𝐫𝐞𝐩𝐚𝐫𝐞 𝐭𝐨 𝐁𝐞𝐜𝐨𝐦𝐞 𝐚 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝟏. 𝐄𝐱𝐜𝐞𝐥- Learn formulas, Pivot tables, Lookup, VBA Macros. 𝟐. 𝐒𝐐𝐋- Joins, Windows, CTE is the most important 𝟑. 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈- Power Query Editor(PQE), DAX, MCode, RLS 𝟒. 𝐏𝐲𝐭𝐡𝐨𝐧- Basics & Libraries(mainly pandas, numpy, matplotlib and seaborn libraries) 5. Practice SQL and Python questions on platforms like 𝐇𝐚𝐜𝐤𝐞𝐫𝐑𝐚𝐧𝐤 or 𝐖𝟑𝐒𝐜𝐡𝐨𝐨𝐥𝐬. 6. Know the basics of descriptive statistics(mean, median, mode, Probability, normal, binomial, Poisson distributions etc). 7. Learn to use 𝐀𝐈/𝐂𝐨𝐩𝐢𝐥𝐨𝐭 𝐭𝐨𝐨𝐥𝐬 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: 𝐀𝐳𝐮𝐫𝐞, 𝐀𝐖𝐒, 𝐨𝐫 𝐆𝐂𝐏 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 👇👇 https://whatsapp.com/channel/0029VaGgzAk72WTmQFERKh02 Hope this helps you 😊