This course strengthens intermediate Python skills for AI workflows, data analysis, and industry-ready automation. Students practice data wrangling with pandas; exploratory data analysis and visualization with matplotlib and seaborn; feature engineering and model preparation; working with APIs and basic automation; building and interpreting baseline ML models using scikit-learn and xgboost; and operating in cloud-based Jupyter environments. The course culminates in a portfolio-ready applied project aligned to local industry use cases.
Prerequisite Courses