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Course Outline

Module 1: Pandas functions for working with DataFrames

  • Introduction to Pandas
    • Basic data structures: Series and DataFrame
  • Operations on DataFrame
    • Loading and saving data (CSV, Excel, etc.)
    • Basic operations (selection, filtering, indexing)
  • Data modification
    • Adding and removing columns and rows
    • Modifying values in a DataFrame
  • Data aggregation and grouping
    • GroupBy
    • Aggregation, summing, averages, etc.
  • Joining and merging DataFrames
    • merge, join, concat
  • Working with missing data
    • Identifying missing data
    • Methods for filling in missing data

Module 2: Optimizing execution time

  • Introduction to optimization
    • The importance of optimization in programming
  • Code optimization
    • Efficient data structures
    • Avoiding repeated calculations
    • Loop optimization
  • Pandas optimization
    • Vectorization of operations
    • Avoiding apply and lambda functions
    • Working with 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
    • Basic 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
    • Determinant, inverse matrix
  • Working with multidimensional data
    • 2D, 3D and higher-dimensional arrays
    • Array shape transformations
  • 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 to generate charts
    • Saving charts as PNG files
  • Advanced Excel charts
  • Report automation
    • Creating automated reports with charts
    • Integrating Pandas with openpyxl/xlsxwriter
 16 Hours

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