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Course Outline

Module 1: Pandas Functions for Data Frame Work

  • Introduction to Pandas
    • Core data structures: Series and DataFrame
  • Operations on DataFrames
    • Loading and saving data (CSV, Excel, etc.)
    • Basic operations (selection, filtering, indexing)
  • Modifying Data
    • Adding and removing columns and rows
    • Modifying values in a DataFrame
  • Aggregation and Grouping Data
    • GroupBy
    • Aggregation, summation, averages, etc.
  • Merging and Combining DataFrames
    • merge, join, concat
  • Handling Missing Data
    • Identifying missing data
    • Methods for filling in missing values

Module 2: Optimizing Program Execution Time

  • Introduction to Optimization
    • The significance of optimization in programming
  • Code Optimization Techniques
    • Efficient data structures
    • Avoiding redundant calculations
    • Loop optimization
  • Pandas Optimization
    • Vectorization of operations
    • Avoiding apply and lambda functions
    • Working with large datasets
  • Simplifying Code by Creating Functions
    • Creating and using functions
    • Refactoring code

Module 3: Working with the NumPy Library

  • Introduction to NumPy
    • Importing the library
    • Core data structures: ndarray
  • Operations on Arrays
    • Creating and modifying arrays
    • Indexing and slicing arrays
  • Mathematical and Statistical Functions
    • Basic mathematical operations
    • Statistical functions and aggregations
  • Linear Algebra
    • Matrix multiplication
    • Determinant, inverse matrix
  • Working with Multi-dimensional Data
    • 2D, 3D, and higher-dimensional arrays
    • Reshaping arrays
  • Integration with Other Libraries

Module 4: Creating Charts in Excel using Python

  • Introduction to openpyxl and xlsxwriter
  • Creating Charts in Excel
    • Creating simple charts (line, bar, etc.)
    • Formatting charts
  • Generating Charts as Images (PNG)
    • Using matplotlib for chart generation
    • Saving charts as PNG files
  • Advanced Charts in Excel
  • Report Automation
    • Creating automated reports with charts
    • Integrating Pandas with openpyxl/xlsxwriter
 16 Hours

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