How to Prepare for Data Science Interviews?

There are so many free and paid resources on the internet today for learning data science, but only a few of them are aimed at training you in data science and other coding interviews. So, in this article, I am going to walk you through some of the best resources on the internet to prepare for data science interviews.

How to Prepare for Data Science Interviews?

Data Science is the combination of computer science and data mining. So you must be well prepared with the concepts of working with data, machine learning algorithms, statistics, and the mathematics behind machine learning algorithms if you want to do very well in your data science interviews.

Besides the concepts of working with data and machine learning algorithms, you should master the basics of data structures and algorithms. As data structures and algorithms play a major role in computer science, most of the coding interview questions are based solely on the concepts of DS & Algo.

So below are some of the most important topics that you should prepare for data science interviews:

  1. Data Handling
  2. Data Visualization
  3. Statistics
  4. Machine Learning Algorithms
  5. Mathematics behind machine learning algorithms
  6. Data Structures and Algorithms

I hope you now have understood the topics that you just cannot skip to prepare for your data science interviews. In the section below, I will take you through some of the best resources on the internet that will help you to prepare for Data Science interviews.

Best Resources to Prepare for Data Science Interviews

aman.kharwal on Instagram for DS & Algo using Python

Learning data structures and algorithms should always be your first step after learning a programming language. If you’ve started with data science after learning the basics of Python, you’ve skipped a lot of concepts. To learn the concepts of DS & Algo using Python, you can follow me on Instagram where I bring many resources to the data science community that you can use on your journey to becoming a Data Scientist.

Krish Naik’s Playlist: Best Data Science Interview Questions

You don’t need to learn a lot theoretically for data science interviews. Being in such a profession, one should be able to analyze the given problem and then look for the approaches to find the optimum solution. So to find some of the best data science interview questions with their solutions you can follow Krish Naik’s YouTube Playlist mentioned below.

Mathematics Behind Machine Learning Algorithms

You can easily find so many resources on the internet to learn about the implementation of machine learning algorithms, but it’s very hard to find the mathematics behind those machine learning algorithms. So the book: “Mathematics for Machine Learning” will help you to understand the fundamentals and mathematics of machine learning algorithms.

Summary

So these were some of the best resources on the internet that you can follow for preparing for data science and other coding interviews. I hope you liked this article on how to prepare for data science interviews. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal
Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder
Articles: 1102

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