•Programming: Python (Pandas, NumPy, Matplotlib, Seaborn)
•Data Manipulation: SQL (Joins, Subqueries, Window functions), Excel (Pivot tables, VLOOKUP)
•Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
•Statistical Analysis: Descriptive statistics, Hypothesis testing, A/B testing, Regression
•Data Cleaning & Preparation: Handling missing data, data transformation, normalization
•Databases: MySQL, PostgreSQL
•Reporting & Dashboarding: Power BI, Tableau
•ETL Concepts: Basic knowledge of data pipelines and transformation