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Course Outline

Module 1: Pandas Functions for Data Frame Operations

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

Module 2: Program Execution Time Optimization

  • Introduction to Optimization
    • The importance of optimization in programming
  • Code Optimization
    • Efficient data structures
    • Avoiding redundant calculations
    • Loop optimization
  • Pandas Optimization
    • Vectorizing operations
    • Avoiding apply and lambda usage
    • Handling large datasets
  • Simplifying Code through Function Creation
    • Creating and using functions
    • Code refactoring

Module 3: Working with the NumPy Library

  • Introduction to NumPy
    • Importing the library
    • Core data structure: ndarray
  • Array Operations
    • Creating and modifying arrays
    • Indexing and slicing arrays
  • Mathematical and Statistical Functions
    • Basic mathematical operations
    • Statistical and aggregation functions
  • Linear Algebra
    • Matrix multiplication
    • Determinant and inverse matrix
  • Working with Multidimensional 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
    • Generating basic charts (line, bar, etc.)
    • Formatting charts
  • Generating Charts as Images (PNG)
    • Using matplotlib to create charts
    • 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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