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What are the best learning paths for data science?

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While there are many tools to study, I think the best approach is to analyze a data problem that you would like to solve first, and then figure out the tools you need to solve it. So find some interesting data and investigate a bit.

The best path is one that meets your skill requirements and also ignites your passion. My belief is that data science skills will become mainstream in the next decade. We will all be using data science in our jobs.

Depending on the quantity and complexity of your data, you will learn that even when you have an easy-to-use R library for your analysis, you still will have to go through the books and understand what is going on with your data. You should learn various things such as:

  1. Some data manipulation techniques via Python or R
  2. Methods to speed up scripts for huge datasets like block-chaining, functional programming, allotting additional memory and cores
  3. Visualization(its benefits and limitations)
  4. Statistical analysis

If you want to know more about Data Science then do check out our Data Science Courses which will help you in learning Data Science from scratch:

And if you are more into videos then you can check out this video tutorial which will help you in learning Data Science from the beginning:

And if you are beginner and more into reading blogs then you can check out this blog which will provide you a brief introduction to Data Science.

 

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