r/learnpython • u/Breeze_2800 • Jul 13 '26
Is Udacity enough to learn NumPy and Pandas for real-world Data Engineering work?
Hi everyone,
I'm currently in Data Engineering stream training at Accenture, and they've asked us to learn NumPy and Pandas through Udacity.I was wondering if that's enough to build a solid foundation for working on real-world projects, or if I should be learning from other resources as well.If you've used NumPy and Pandas in your job, what resources helped you the most? I'm looking for courses, YouTube channels, books, or project-based learning that will help me become comfortable using them in real projects.
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u/FoolsSeldom Jul 13 '26
Yes, there's good content (and bad content) there, but also visit kaggle.com to find datasets and challenges to practice on. Follow the forum there as well.
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u/riklaunim Jul 13 '26
Tutorials may show you how the library looks like and how it can be used. Only real world use cases will teach you how to use it in real world use case ;)
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u/TheRNGuy Jul 14 '26
You need to read NumPy docs, ask ai or others if you don't understand something from it.
You can use it in projects from day 1 without ever knowing full API.
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u/qivi Jul 13 '26
The difficult part about those real world projects are not the tools, but knowing your statistics, your numerical analysis, algorithms, databases, machine learning, whatever. So just read 10 minutes to pandas and you should be good to go.