Module Title: From VBA to Pandas: A Comprehensive Guide for Data Analysts

Here are the steps to download and install Pandas and Jupyter Notebook on your laptop: Download and install Python: a. Go to the official Python website ( https://www.python.org/downloads/ ) and download the latest version of Python. b. Follow the installation instructions provided on the website. Install Pandas: a. Open the command prompt (Windows) or terminal (Mac or Linux) on your computer. b. Type "pip install pandas" and press enter. c. Wait for the installation process to complete. Install Jupyter Notebook: a. Open the command prompt or terminal on your computer. b. Type "pip install jupyter" and press enter. c. Wait for the installation process to complete. Alternatively, you can install Anaconda, which is a Python distribution that comes with both Pandas and Jupyter Notebook pre-installed. Here are the steps to install Anaconda: Download and install Anaconda: a. Go to the official Anaconda website ( https://www.anaconda.com/products/individual ) and download

  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