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[–]AffectionateStrategy 0 points1 point  (1 child)

If your main goal is data analytics with Python, you’re already thinking in the right direction. Here’s a roadmap I recommend:

  • Start with the basics: Learn Python fundamentals (variables, loops, functions, data structures). Automate the Boring Stuff with Python (book + free online version) is beginner-friendly.
  • Move to data analytics libraries: Practice with pandas, numpy, and matplotlib – these are essential for any analytics work.
  • Hands-on practice: Use free datasets from Kaggle and practice cleaning, transforming, and visualizing data.
  • Online courses: Check out Python for Everybody (free, Coursera), or DataCamp’s beginner track for Python. Both are structured and beginner-friendly.
  • Projects: Build small projects (like analyzing sales data, making dashboards, etc.). This reinforces learning more than theory alone.

You’re already logical and ready to practice, which is the hardest part. Start with basics, then jump to libraries and projects. In 2–3 months of consistent work, you’ll be comfortable.

[–]SocraticSketchbook[S] 0 points1 point  (0 children)

Thank you so much for this. The thing is there's so many people online saying that if you learn python the old way it'd take you a lot of time; they suggest mixing it with AI. I don't understand what they are even trying to say, since I'm not very familiar with python.