Pandas and NumPy for Data Science

Build a strong foundation in data analysis and numerical computing using Pandas and NumPy, the core libraries of the Python data science ecosystem. This course covers array operations, data manipulation, cleaning, transformation, and analysis using real-world datasets. Learn how to efficiently handle structured data, perform statistical computations, and work with large datasets using vectorized operations. You will also explore filtering, grouping, merging, and time-series analysis techniques. By the end of the course, you’ll be able to preprocess, analyze, and prepare data effectively for machine learning and data-driven applications.