Data Analysis using Excel and Python combines the strengths of both Excel and Python for data manipulation, analysis, and visualization. The course introduces how to perform basic and advanced data analysis using Excel's built-in functions (like PivotTables, VLOOKUP, and data visualization tools). It then expands on this by incorporating Python libraries such as Pandas for data manipulation, Matplotlib and Seaborn for creating visualizations, and NumPy for numerical analysis. The integration of both tools allows for handling larger datasets, performing more complex analyses, and automating tasks. The goal is to provide a comprehensive approach to data analysis, enabling users to work efficiently with both Excel’s user-friendly interface and Python’s powerful capabilities for more complex tasks.