Python for AI and Data Science
A hands-on Python course for beginners who want to work with data and machine learning, starting from the language basics. You will learn to clean and explore real datasets with NumPy and pandas, chart them with Matplotlib and Seaborn, and train and honestly evaluate models with scikit-learn.
Course Content
The core Python you need for data work: types and operators, control flow and functions, and reading and writing files safely.
Fast arrays with NumPy and labelled tables with pandas, plus the cleaning and missing-value decisions every real dataset needs.
Charts that answer a question, styled so the finding is obvious, and a step-by-step method for exploring a new dataset before you model it.
The scikit-learn workflow from loading and splitting data to training, scoring and tuning models without fooling yourself.
A complete exploratory analysis of a messy public dataset, from question to cleaned data to a finding you can defend.