This course path is designed for learners who have some Python experience and want to build stronger skills in numerical computing and data manipulation. You will work with NumPy arrays and Pandas DataFrames, learning how to load data, inspect its structure, and perform efficient operations. The path progresses from foundational array and DataFrame concepts to more advanced techniques for cleaning, transforming, and analyzing data. Topics include handling missing values, creating derived features, filtering and sorting records, working with categorical and time-based data, and reshaping datasets. You will also practice higher-level analysis workflows using group-by operations, multi-level indexing, pivot tables, and dataset merges. By the end, you will be prepared to apply NumPy and Pandas to more complex data wrangling and analysis tasks.
