Learn how to group and aggregate data using Python Pandas in this comprehensive 49-minute tutorial. Explore powerful data analysis techniques including aggregating columns and DataFrames, using value counts, grouping data, applying multiple aggregates to groups, and concatenating series. Discover how to answer complex questions like determining the most popular social media site for each country or analyzing Python knowledge by country. Follow along with practical examples and a practice question to reinforce your understanding of these essential Pandas functions for data exploration and analysis.