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 Duration 16 hours

Course Outline

Module 1: Pandas Functions for Working with DataFrames

  • 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, removing, and modifying rows and columns
    • Modifying values within a DataFrame
  • Aggregation and Grouping Data
    • GroupBy
    • Aggregation, summing, averaging, etc.
  • Joining and Merging DataFrames
    • merge, join, concat
  • Handling Missing Data
    • Identifying missing values
    • Techniques for imputing missing data

Module 2: Optimising Program Execution Time

  • Introduction to Optimisation
    • The importance of optimisation in programming
  • Code Optimisation
    • Efficient data structures
    • Avoiding redundant calculations
    • Loop optimisation
  • Pandas Optimisation
    • Vectorising operations
    • Avoiding apply and lambda
    • Working with large datasets
  • Simplifying Code Through Function Creation
    • Creating and using functions
    • Refactoring code

Module 3: Working with the NumPy Library

  • Introduction to NumPy
    • Importing the library
    • Core data structures: ndarray
  • Array Operations
    • Creating and modifying arrays
    • Indexing and slicing arrays
  • Mathematical and Statistical Functions
    • Basic mathematical operations
    • Statistical and aggregating functions
  • Linear Algebra
    • Matrix multiplication
    • Determinants and inverse matrices
  • 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 basic charts (line, bar, etc.)
    • Formatting charts
  • Generating Charts as Images (PNG)
    • Using matplotlib to generate charts
    • Saving charts as PNG files
  • Advanced Charts in Excel
  • Report Automation
    • Creating automated reports with charts
    • Integrating Pandas with openpyxl/xlsxwriter

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