Python for Data Science — Numpy, Pandas, Matplotlib fundamentals

The Python for Data Science course introduces learners to the essential programming and analytical tools used in data science.
You’ll start with Python basics and quickly progress into data manipulation (NumPy & Pandas) and data visualization (Matplotlib & Seaborn) — the foundation of all analytics and machine learning workflows.

Through real datasets, coding exercises, and projects, this course helps you gain hands-on experience in data cleaning, transformation, and visualization, preparing you for advanced courses in Machine Learning, Data Analytics, and AI.

By the end, you’ll have the practical Python skills every data scientist or analyst needs to work with structured and unstructured data effectively.