Python for Data Analysis is your practical, no-nonsense guide to mastering the tools and techniques used by real-world data professionals. Whether you're new to programming or looking to transition into data analysis, this book teaches you how to use Python to clean, explore, visualize, and understand data—step by step.
Built around hands-on examples and real datasets, this book focuses on what matters most: turning raw data into insights using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn. You’ll learn how to manipulate data tables, create visualizations, perform basic statistics, and build workflows that are efficient and repeatable.