Pandas GroupBy and Aggregations: Hands-On Python Exercises

Summarizing raw data into meaningful insights is one of the most critical skills in data analysis. This text-based course helps you master grouping and aggregation techniques using Pandas in Python. You will transition from writing basic Python scripts to performing complex data summarization tasks. Through structured written explanations and step-by-step code exercises, you will learn how to split datasets, apply aggregation functions, and combine results to extract valuable business metrics. What you'll learn: Understand the fundamental split-apply-combine paradigm of data grouping; Apply basic aggregation functions such as mean, sum, count, and median to grouped data; Perform named aggregations to keep your output dataframes clean and well-structured; Group by multiple columns to perform multi-level hierarchical data analysis; Filter grouped data effectively and handle missing values during aggregation; Practice writing clean, readable Pandas code using modern method chaining techniques. The course begins with foundational concepts of data structures and grouping logic before guiding you through practical, text-based exercises that build your analytical skills. Designed for beginner data analysts and Python learners who want to strengthen their data manipulation skills, this course requires no prior experience with Pandas. Start reading today to unlock the power of data aggregation in Python.