Python Data Analytics
Learn Python for data analytics from scratch — pandas, NumPy, matplotlib, seaborn, and scikit-learn — through hands-on Jupyter notebook lessons that take you from environment setup to a real-world sales capstone project.
Ẹ̀kọ́ yìí ní àwọn wọ̀nyí nínú:
- Ìwé ẹ̀rí ìparí
- Àǹfààní kíkún fún ìgbésí ayé
Yes
Certificate
This course teaches you the complete Python data analytics workflow using the tools professionals use every day. You'll start by setting up Jupyter and your Python environment, then work through pandas for data wrangling, groupby and merge operations for analysis, matplotlib and seaborn for visualisation, NumPy and pivot tables for advanced techniques, and scikit-learn for your first machine learning model. Every lesson is hands-on — you'll write and run real code, see actual outputs, and finish with a capstone project analysing a real-world sales dataset from start to finish.