Master advanced data manipulation techniques for processing Excel data.

📋 Learning Objectives

  • Clean and preprocess Excel data
  • Filter and select data efficiently
  • Perform sorting and grouping operations
  • Use aggregation functions effectively
  • Create pivot tables and cross-tabulations
  • Handle missing data and duplicates
  • Transform data for analysis

📚 Topics Covered

  1. Data Cleaning - Handling missing values (NaN, None, empty strings) - Removing duplicates - Data type conversions - String cleaning and normalization

  2. Filtering and Selection - Boolean indexing - Query method - loc and iloc selection - Conditional filtering

  3. Sorting Operations - Single and multi-column sorting - Custom sort orders - Sorting by index

  4. Grouping and Aggregation - GroupBy operations - Multiple aggregation functions - Custom aggregations - Transform and apply methods

  5. Pivot Tables - Creating pivot tables - Multiple aggregations - Pivoting and un-pivoting - Cross-tabulations

  6. Data Transformation - Column operations - Apply and map functions - Merging datasets - Reshaping data

🎯 Real-World Applications

  • Sales data analysis
  • Financial report generation
  • Customer data profiling
  • Inventory management

Next Session

Session 5: Excel Formatting and Styling - Create professional-looking Excel reports.