Module Overview and Module Outline:

 Module Overview:

This training module is designed for data analysts who are looking to transition from VBA to Pandas. The module provides a comprehensive guide on the key differences between VBA and Pandas, and how to effectively use Pandas for data analysis tasks. The module covers the following topics:

Introduction to Pandas:

  • Data types and structures in Pandas
  • Reading and writing data in Pandas
  • Data cleaning and manipulation in Pandas
  • Aggregation and groupby operations in Pandas
  • Data visualization using Pandas
  • Performance comparison between VBA and Pandas
Module Objectives:
  • Understand the key differences between VBA and Pandas
  • Learn how to effectively use Pandas for data analysis tasks
  • Understand how to read and write data in Pandas
  • Learn how to clean and manipulate data using Pandas
  • Understand how to perform aggregation and groupby operations in Pandas
  • Learn how to visualize data using Pandas
  • Understand the performance differences between VBA and Pandas

Module Prerequisite:

How to install Pandas and Jupyter Notebook:

Module Outline:

I. Introduction to Pandas

  • What is Pandas?
  • Why use Pandas over VBA?
  • Key concepts in Pandas

II. Data Types and Structures in Pandas

  • Series
  • DataFrame
  • Index

III. Reading and Writing Data in Pandas

  • Reading CSV files
  • Writing CSV files
  • Reading Excel files
  • Writing Excel files

IV. Data Cleaning and Manipulation in Pandas


Handling missing values
Data filtering
Data transformation
Data merging and joining

V. Aggregation and Groupby Operations in Pandas

  • Aggregation functions
  • Groupby operations
  • Pivot tables

VI. Data Visualization using Pandas

  • Line plots
  • Bar plots
  • Scatter plots
  • Histograms
  • Box plots

VII. Performance Comparison between VBA and Pandas

  • Time taken to execute similar tasks in VBA and Pandas
  • Comparison of memory usage in VBA and Pandas

Module Duration: The module can be completed in 2-3 weeks, depending on the pace of the learner and the level of expertise in VBA.

Assessment: The assessment will consist of a final project where the learner will be given a dataset and required to perform various data analysis tasks using Pandas. The learner will be evaluated on the accuracy of the analysis, as well as their proficiency in using Pandas.

Conclusion: This training module is an excellent resource for data analysts looking to transition from VBA to Pandas. The module provides a comprehensive guide on key concepts, data types and structures, reading and writing data, data cleaning and manipulation, aggregation and groupby operations, and data visualization. Upon completion of this module, learners will be able to effectively use Pandas for data analysis tasks and understand the performance differences between VBA and Pandas.

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