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Python is widely used for data analysis and you might have considered learning it yourself (if not, or if you’re still looking for that bit of extra motivation to get started, see why you should be learning Python when clicking on the link below). Of course, learning on your own can be a challenge and some guidance is always helpful. Guidance to learn Python for working with data is exactly what this article will provide you with.

We discuss steps that you should take for learning Python accompanied with some essential resources, such as the free Python for Data Analysis courses and tutorials from DataCamp as well as reading and learning materials.

Read this comprehensive tutorial here.

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Hi Vincent,

You forget to mention Spark Python API in your tutorial, which is for big data processing and analysis.

Also, a real data scientist should know sql, instead of learning pandas, I would suggest to learn sql.



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