Resources to Prepare for Data Science Interviews

A Data Science job interview contains various rounds to test your theoretical knowledge, practical skills, and how you think while approaching problems. So, if you are preparing for Data Science interviews, this article is for you. In this article, I’ll take you through 5 resources you can use to prepare for Data Science interviews.

Resources to Prepare for Data Science Interviews

Below are five resources you can use to prepare for Data Science interviews and how you can use them.

30 Days of Pandas on Leetcode

30 Days of Pandas is a series of questions asked in Data Science interviews to test your data manipulation skills using Pandas. Here are some important questions you must try:

1. Big Countries
2. Recyclable and Low Fat Products
3. Invalid Tweets
4. Calculate Special Bonus
5. Nth Highest Salary
6. Rank Scores

Find this complete series of questions here.

My List of SQL Interview Questions

I have curated a list of the popular and challenging questions asked in Data Science interviews based on querying data using SQL. Here are some important questions you must try:

1. User Engagement Analysis
2. Sales by Day of the Week
3. Group Sold Products by Date
4. Create a Bank Account Summary
5. Calculate Ride Cancellation Rate
6. Market Analysis

Find this complete list of questions here.

Case Studies by Statso

Practice solving Data Science case studies. It can be asked as a take-home assignment or scenario-based question to test how you approach the problem. You can follow case studies by Statso. Here are some important case studies you must practice:

1. What Makes You Trend on YouTube
2. Metro Operations Optimization
3. B2B E-commerce Fraud
4. Optimizing Cost and Profitability
5. Price Optimization
6. Portfolio Optimization

You can find more case studies here.

From ML Algorithms to GenAI & LLMs

“From ML Algorithms to GenAI & LLMs” is a comprehensive resource tailored to bridge the gap between theoretical knowledge and practical application, which makes it a valuable book for preparing for Data Science interviews. It systematically covers core machine learning concepts, including regression, classification, clustering, and deep learning, with hands-on Python examples that demonstrate real-world applications.

The book’s focus on practical applications, performance evaluation methods, and feature engineering equips readers with the skills to tackle interview questions effectively. Additionally, its chapters on Generative AI, Large Language Models (LLMs), and GANs introduce advanced topics increasingly relevant in the industry, which helps candidates stand out by showcasing their understanding of cutting-edge technologies.

With clear explanations, code snippets, and a quick reference appendix for model tuning, this book ensures a strong grasp of the technical and conceptual aspects critical for acing Data Science interviews. You can find this book here.

Statistics Free Course by Udacity

Some of the most important concepts asked in Data Science Interviews based on statistics are:

1. Data distributions
2. Hypothesis Testing
3. ANOVA
4. Regression Analysis

You can follow Udacity’s free course on Statistics. It includes all the fundamentals you should know. Find it from here.

Summary

So, below are 5 resources you can follow to prepare for Data Science interviews:

1. 30 Days of Padas on Leetcode
2. My List of SQL Interview Questions
3. Case Studies by Statso
4. From ML Algorithms to GenAI & LLMs
5. Statistics Free Course by Udacity

I hope you liked this article five resources you can follow to prepare for Data Science interviews. Feel free to ask valuable questions in the comments section below. You can follow me on Instagram for many more resources.