Are you a beginner who wants to use Python to understand and apply statistics in the real world? This course is designed specifically for you — no prior programming or statistics experience required. In this course, you will learn how to use Python’s most powerful data libraries — Pandas, NumPy, and Matplotlib — to explore, analyze, and visualize data. We start from the very basics of Python and gradually move into core statistical concepts, always connecting theory with hands-on Python code.
Whether you are a student, researcher, or working professional looking to add data skills to your toolkit, this course gives you a strong and practical foundation in statistics using Python. By the end of this course, you will be able to clean and explore real datasets, compute statistical measures, run hypothesis tests, and present your findings with clear and professional visualizations — all using Python.
