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First Steps to Learning Data Science or ML after the Roadmap

Pre-requisites and pre-work before diving deep into data science and ML

Harshit Tyagi
Towards Data Science
7 min readAug 20, 2021

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At the start of this year, I published a mind map on the Data Science learning roadmap (shown below). The roadmap was widely accepted, that article got translated into different languages, and a large number of folks thanked me for publishing it.

Everything was good until a few aspirants pointed out that there are too many resources and many of them are expensive. Python programming was the only branch that had a number of really good courses but it ends right there for beginners.

A few important questions on foundational data science struck me:

  • What should one do after learning how to code? Are there topics that help you strengthen your foundations for data science?
  • I hate math and there are either very basic tutorials or too deep for me. Can you recommend a compact yet comprehensive course on Math and Statistics?
  • How much Math is enough to start learning how ML algorithms work?
  • What are some essential statistics topics to get started with data analysis or data science?

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Towards Data Science
Towards Data Science

Published in Towards Data Science

Your home for data science and AI. The world’s leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.

Harshit Tyagi
Harshit Tyagi

Written by Harshit Tyagi

Director Data Science & ML at Scaler | LinkedIn's Bestselling Instructor | YouTuber

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