Data analysis practice using Numpy and Pandas

This course focuses on practical training in the core foundations of data analysis and data preprocessing using NumPy and Pandas. You will learn step-by-step, starting from Python's basic data structures to NumPy arrays and Pandas DataFrames, and master various processing techniques for analyzing real-world data. By practicing the most frequently used functions in data analysis—such as data cleaning, transformation, merging, and grouping—you can naturally improve your data preprocessing skills for machine learning. The course provides both conceptual explanations and hands-on exercises so that even beginners can easily follow along, allowing you to build a solid foundation for data analysis and machine learning.