Python for Data and AI: Clean, Explore, Chart and Model Data

Use Python’s core data libraries to turn a messy business dataset into charts, findings and a first working model. Set up a licence-safe environment with uv or Miniforge, work with NumPy arrays and pandas 3 DataFrames (Copy-on-Write and the new str dtype included), clean, join, reshape and check real data, explore it and chart one finding with Matplotlib and Seaborn, then build, score and tune first scikit-learn models in a leak-proof pipeline, and label text with a language model from Python on Groq’s free tier. Follow a made-up grocery chain from wasted chilled stock to a memo with one recommendation, and finish with a free hands-on lab on your own laptop. A working foundation for beginners, not mastery: a follow-on course takes the models further.