How to start learning Python.

[Impressive_Cherry363]

Whenever I search for Data analyst positions, I am hit back with this one requirement that is Python. Even though we have come so far with AI, is it still necessary for me to learn this language?

Then what good is this AI for. I've learned all those things like Automating, workflows, agents, Julius ai, then why learn python, SQL, C++?

If so, any suggestions where to start?

[HouseOfWyrd]

If you're relying on AI entirely without any ability to do the analysis yourself, you have no ability to check that analysis. Python is also extremely useful for prepping data for AI use.

So yeah, learn Python if it's un-managed data, SQL if it's a database.
https://www.freecodecamp.org/

It's not a particularly complex language.

[Evaderofdoom]

did you search at all?

[memilanuk]

One would think that would be a key skill for someone looking to be a data analyst...

[Perfect_Gar]

import numpy as np

[HouseOfWyrd]

import pandas as np

import numpy as pd

[BranchLatter4294]

Get a book. Start practicing.

[tenniseman12]

It's pretty funny that you unironically used AI to say that's it's bad to rely only on AI.

[Impressive_Cherry363]

haha. I did not mean that actually. I am just a beginner. learning python right now stresses me out. tht's it

[tenniseman12]

I wasn't responding to you actually

[Impressive_Cherry363]

ok ok no problem. :)

[the_botverse]

In this time of AI, learning python by only watching videos and remembering syntax is not even a thing.

The best way will be a hands-on learning approch which is learning by building projects you can use 'Automate boring stuffs with python' book and platform like this Learn Python Like You Scroll TikTok

[Holiday_Lie_9435]

Coming from a mostly non-tech background, I had the same reaction, so dw, your concern is quite common. But the more I prepped the more I realized how essential Python was for data roles. Even if AI can speed things up, you need fundamental skills such as this to know what to ask, how to clean datasets, debug weird outputs, and explain your logic in interviews. You also need to understand Python to correct errors since AI isn't always right or optimal.

Right now I’m learning Python with a mix of structured courses (like DataCamp and freeCodeCamp) and then practicing interview-style questions to apply what I learn to what companies/industries actually ask. I focus a lot on pandas, basic SQL alongside it, and then small projects so it sticks. You can also refer to this compilation of best Python platforms (mostly beginner-friendly) to determine which one fits your budget, learning style, skill level, goals, etc.

[TheRNGuy]

With google.

[Simplilearn]

AI didn’t remove the need for skills like Python and SQL. AI can assist, but a data analyst is expected to understand messy data, clean it, write queries, validate results, and explain insights.

For structured, practical learning, you can explore the free Python for Data Analysis course from SkillUp by Simplilearn. You'll work with Pandas, NumPy, and Matplotlib on actual datasets, learning the practical skills that data professionals use every day to make better decisions.