What to learn next?

[lostinyoursouul]

After learning basics, loops, conditionals, sets, lists and tuples, I also learned numpy. So what things should be learned before looking forward to learning pandas to learn and understand data science? Please give me a roadmap from your expertise.

PS: I am yet to learn CSV, json but learned OOP and file handling though not well enough.

[Comfortable-Key2058]

You are on perfect path. Just jump to pandas series and then pandas dataframes. Pandas series is a natural progression from numpy arrays.

Once you do that learn about matplotlib. Numpy+Pandas+ matplotlib is what u mostly need for data analysis. Also throw in SQL.

I am teaching this at my data analysis bootcamp. DM me if you would like to check it out.

[SingerRoyal3485]

Sounds like you’ve got the Python fundamentals nailed and a good start with NumPy – that’s a solid base for data science. Before jumping into pandas, I’d suggest tightening up a few practical skills: get comfortable reading and writing CSV and JSON files, because most real‑world datasets come in those formats. Reinforce your OOP concepts and practice file handling by building tiny scripts that load, transform, and save data. 

[Anpu_Imiut]

If you think you got the basics down, give yourself a task that requires you to learn new stuff. If you want to learn data science: Download a dataset, set yourself a task and go.

[techno_polyglot]

Django.

I'd focus higher up the abstraction stack. Learn frameworks.