If you’ve never worked as a data science professional before, you must be wondering how to prepare for your first data science interview. So if you’ve learned data science, worked on projects, and think you’re ready for your first data science job, this article is for you. In this article, I’ll walk you through all the steps you need to prepare for a data science interview.
How to Prepare for a Data Science Interview
Getting your first data science job requires you to focus entirely on data science fundamentals and domain knowledge. In Data Science fundamentals, you should know the basic concepts of data science and how to work with data science libraries. To gain domain knowledge, you need to work on various data science projects related to a particular domain. Below are all the steps you should follow to prepare for a data science interview.
Steps to Prepare for a Data Science Interview
Practice Data Science Interview Questions
If you’ve never given a data science interview before, it’s obvious you have no idea about the questions that will be asked by interviewers. So to practice data science interview questions, I will recommend following Ace The Data Science Interview. It is one of the best guides to practice data science interview questions. It contains 201 interview questions asked by FAANG and Tech Startups. So this book will be helpful in your data science interview preparation.
Go Through Data Science Interview Experience
There are a lot of contributors in every platform who actively keep posting about data science. So you can easily find data science interview experience of data science professionals on Medium and YouTube, or you can even search about data science interview experience on Google. Below are some of the interview experiences that I will recommend going through:
- Data Science Interview Experience at Google
- Data Science Interview Experience at Uber
- Data Science Interview Experience at NoBroker
Create a Profile on LinkedIn and GitHub
Your next step should be to create a profile on LinkedIn and GitHub. A LinkedIn profile works like an online resume, where various recruiters can see your work. So to reach recruiters, you have to create a LinkedIn profile that can justify your skills and your profession. Your GitHub profile works like a portfolio, where you show your data science projects. You can look at my LinkedIn and GitHub profiles below to get an idea about creating your profiles:
Research about the Company
You need to follow this step when you get a call for your data science interview. Whenever you get a call from any company, research about:
- the vision of the company
- history of the company
- the kind of skills that they look for in a fresher
- their customers
- the products and services they deal with
- the financial health of the business
- key competitors and USP
It will help you get to know the company you will be working in and deal with any questions about growing and adding value to their business.
So to prepare for your very first data science interview:
- follow the book “Ace The Data Science Interview”;
- go through data science interview experience;
- create a profile on LinkedIn and GitHub;
- research about the company whenever you get a call for an interview.
I hope you liked this article on how to prepare for a data science interview. Feel free to ask valuable questions in the comments section below.