Becoming a Data Analyst requires mastering key areas:
-Math & Statistics – hypothesis testing, probability, linear algebra
-Python – Pandas, NumPy, Seaborn, Scikit-learn
-SQL – joins, queries, optimization
-Data Wrangling – cleaning & transformation
-Visualization – Tableau, Power BI, Matplotlib
-ML basics
-Soft Skills – storytelling, problem-solving

📕 https://ebokify.com/data-analysis

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