Module 3: Join and Reshape Data
Module Overview
In this module, you'll master essential data manipulation techniques in pandas. You'll learn how to concatenate and merge datasets, use Group By operations for data exploration, understand the principles of tidy data, and transform data structures using melt and pivot functions. These skills are fundamental for effective data analysis and preparation.
Learning Objectives
- Combine and merge multiple datasets using concatenation and merge operations
- Explore and analyze data using Group By operations
- Understand and implement the principles of tidy data
- Transform data structures using melt and pivot functions
Guided Project
Open DS_113_Join_and_Reshape_Data.ipynb in the GitHub repository below to follow along with the guided project:
Practice Activity
After completing the guided project, you'll work on a practice activity to strengthen your skills in joining and reshaping data. This assignment gives you hands-on experience with pandas methods for data transformation and helps you build confidence in your data wrangling abilities.
Module Project
Complete all tasks in the Jupyter notebook named DS_113_Join_and_Reshape_Data_Assignment_AG.ipynb provided in the GitHub repository. The project will assess your understanding of data concatenation, merging, and reshaping techniques.