Week 1: Introduction to Data Analysis and Excel Basics

1. Introduction to Data Analysis:
   • Understanding data analysis and its importance
   • Overview of the tools: Excel, Power BI, SQL
2. Excel Basics:
   • Navigating the Excel interface
   • Data entry, cell referencing, and basic formulas
   • Sorting, filtering, and formatting data
3. Basic Excel Formulas:
   • SUM, AVERAGE, COUNT, MIN, MAX, IF, and VLOOKUP
4. Data Cleaning in Excel:
   • Removing duplicates, handling missing data, and formatting for consistency

Week 2: Advanced Excel for Data Analysis

5. Advanced Excel Formulas:
   • INDEX/MATCH, IFERROR, SUMIFS, COUNTIFS, and other conditional formulas
6. Pivot Tables and Pivot Charts:
   • Creating pivot tables for data summarization
   • Using pivot charts for data visualization
7. Data Analysis with Excel:
   • Descriptive statistics (mean, median, mode)
   • Using Excel for basic trend analysis
8. Introduction to Data Visualization in Excel:
   • Charts: Line, bar, pie, and scatter plots
   • Best practices for visualizing data effectively

Week 3: Introduction to Power BI

9. Getting Started with Power BI:
   • Installing and navigating Power BI
   • Importing data from Excel and other sources
10. Basic Data Manipulation in Power BI:

• Cleaning and transforming data using Power Query
• Creating calculated columns and measures

11. Power BI Visualizations:

• Introduction to different chart types: bar, line, and pie charts
• Creating basic visualizations for insights

12. Building a Dashboard in Power BI:

• Combining multiple charts to create a dynamic dashboard

Week 4: Power BI Advanced Topics

13. Advanced Data Modeling in Power BI:

• Creating relationships between tables
• Using DAX (Data Analysis Expressions) for advanced calculations

14. Advanced Power BI Visualizations:

• Using slicers, filters, and drill-through reports
• Incorporating real-time data

15. Power BI Dashboards and Reports:

• Best practices for designing interactive dashboards
• Publishing and sharing reports in Power BI Service

16. Case Study in Power BI:

• Solving real-world business problems using Power BI

Week 5: Introduction to SQL

17. SQL Basics:

• Introduction to databases and relational models
• Writing basic SQL queries: SELECT, FROM, WHERE

18. Filtering Data in SQL:

• Using WHERE, AND, OR, and IN operators
• Sorting data with ORDER BY

19. Aggregate Functions in SQL:

• Using COUNT, SUM, AVG, MIN, MAX
• GROUP BY and HAVING clauses

20. Joining Tables in SQL:

• INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN

Week 6: Advanced SQL for Data Analysis

21. Advanced SQL Queries:

• Subqueries, nested queries, and common table expressions (CTEs)

22. Data Manipulation in SQL:

• INSERT, UPDATE, and DELETE operations

23. Working with Dates and Strings in SQL:

• Extracting and manipulating date and string data

24. SQL Case Study:

• Solving real-world data problems using advanced SQL queries

Week 7: Integrating Excel, Power BI, and SQL

25. Combining Excel with SQL:

• Importing SQL data into Excel
• Using SQL queries within Excel for analysis

26. Power BI with SQL:

• Connecting Power BI to SQL databases
• Automating data updates from SQL to Power BI dashboards

27. Advanced Analytics in Excel and Power BI:

• Using Excel for advanced statistics and regression analysis
• Using Power BI for predictive analytics and forecasting

Week 8: Capstone Project and Review

28. Capstone Project: Part 1

• Data extraction from SQL, analysis in Excel, and visualization in Power BI
• Identifying business insights and making recommendations

29. Capstone Project: Part 2

• Building a complete Power BI dashboard from SQL data
• Presenting findings and insights

30. Review and Q&A:

• Recap of all tools and concepts learned
• Open Q&A session for any remaining questions or clarifications