In this module, you'll master DataFrames, the primary structure for tabular data in Pandas. You'll create and manipulate data, navigate datasets using indexing, and import information from external sources. You'll also explore how to identify common data quality issues in real-world workflows. By the end of this module, you'll be fully equipped to prepare datasets for analysis using core Pandas tools.

In this module, you'll learn how to investigate and understand datasets through exploratory analysis. You'll summarize data, apply filtering techniques, sort records, and create visualizations to reveal hidden patterns. By the end of this module, you'll have the skills to explore datasets efficiently and surface the exact answers you need.

In this module, you'll master advanced techniques for modifying and restructuring data. You'll transform columns, merge datasets, handle MultiIndex structures, and format data for different types of analysis. By the end of this module, you'll be able to organize and manipulate complex datasets with confidence.

In this final project, you'll apply your new Pandas skills to a real-world dataset of TED Talks. You'll download and prepare the data, analyze its structure, and build a functional recommendation workflow. By the end, you'll have hands-on experience using Pandas to solve a practical data analysis problem and to showcase your findings.