Tabular Data

This unit introduces the Pandas framework for working with tabular data. You will learn how to create, manipulate, and analyze tables using Pandas DataFrames - Python’s answer to spreadsheets and data tables. Through real-world datasets, both from neuroscience and from other domains, you’ll master key data handling methods like filtering, grouping, and aggregating. The unit also covers data visualization with Seaborn and techniques for reorganizing dataframes. These tools will prepare you to handle complex datasets in your research efficiently.

Tools

• Pandas
• Seaborn
• NumPy