Python Python basics: variables, data types, loops, conditionals Functions and modules Data structures: lists, tuples, dictionaries, sets File handling and exception handling Libraries: Pandas, NumPy, Matplotlib, Seaborn Data wrangling and preprocessing Working with JSON and APIs Introduction to Jupyter Notebook SQL with MySQL Database fundamentals and normalization Creating and managing databases/tables SQL commands: SELECT, INSERT, UPDATE, DELETE Joins: INNER, OUTER, LEFT, RIGHT Aggregate functions and GROUP BY Subqueries and nested queries Indexes, views, and stored procedures Working with real-world datasets Statistics Descriptive statistics: mean, median, mode, variance Probability and distributions Inferential statistics Hypothesis testing Correlation and regression analysis Confidence intervals ANOVA and chi-square tests Statistical significance in data analysis Power BI Connecting to multiple data sources Power Query Editor Data modeling and relationships DAX functions Creating interactive dashboards Using slicers and filters Publishing and sharing reports Row-level security Tableau Connecting and blending data Filters, parameters, and calculated fields Building interactive charts and dashboards Using Tableau Prep for data cleaning Storytelling with data Maps and geographic visualizations Tableau Public vs. Tableau Server Real-time data analysis Advanced Excel & VBA Excel functions: VLOOKUP, HLOOKUP, INDEX-MATCH PivotTables and PivotCharts Data validation and conditional formatting What-If analysis tools: Goal Seek, Scenario Manager Recording and writing macros Automating tasks with VBA UserForms and interactive dashboards Integration with other Office tools