Data Science Interview Guide – Part 2: Interview Resources

Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science.

Data Science Interview Guide - Part 2: Interview Resources
Source: Maya Maceka via Unsplash


Below is a list of resources to help you prepare for your Data Science Interview, or for those who are brushing up on their technical skills or who want to start learning Data Science. These resources can help you achieve them all.



Seattledataguy has put together a data science study guide to help people prepare for their interviews. The excel sheet: Data Science Interview Guide was created by people who have been interviewed by big companies such as Amazon, Facebook, and more. 

If you would like to use the sheet, you can make a copy and follow the study guide whilst adding in your personal notes. 

Topics include:

  • Machine Learning Algorithms
  • Probability And Statistics
  • Product And Experiment Designs
  • Programming
  • SQL


 Udacity Free Interview Prep Course


Udacity offers free Interview Preparation courses to make sure you land that tech job you want. These courses are for different aspects of Data Science, and include:


 codeacademy Courses


Codeacademy is also another platform that offers courses to help you with your interview preparations. However, these courses are not free; you will have to sign up for the Pro codeacademy plan. You will also be given a certificate when you complete any of the Pro plan courses, including the interview preparation courses.

The courses included are:


 Udemy Courses


Udemy offers a wide range of courses that can help you within your Data Science journey. However, there are a few that have been specifically curated to guide you through the Data Science interview preparation stage. These are:


 Krish Naik - YouTuber


Krish Naik is the cofounder of iNeuron and currently has 542K subscribers. He has over 10 years of experience and speaks on the theory and applications of Data Science, Machine Learning, Deep Learning, and more. He has three different types of Memberships on his YouTube channel; DataScience Materials, Data Science Guidance, and Projects Live DataScience. 

He has a playlist for Interview Questions, these are:

He has more granulated playlists here:


 Cheat Sheets


Cheat Sheets are a great way to learn complex topics in layman’s terms. Instead of me jotting down every cheat sheet out there, have a read of this article by Abid Ali Awan (@1abidaliawan) who published two articles on KDnuggets. You will be able to find every cheat sheet you need for learning Data Science and preparing for your interview. 

  1. The Complete Collection of Data Science Cheat Sheets – Part 1
  2. The Complete Collection of Data Science Cheat Sheets – Part 2

The above resources provided will help you get the best results out of your Data Science Interview. However, there are a few things you can do for yourself to make the process easier. 


 Research the role and company


Learning more about the role and the company you have applied for will help you a lot. Make sure you understand what the role is asking of you and if you fit that specification. It is better to over-perform than underperform. 

If there are particular tasks laid out on the job description that you are unfamiliar with or need some brushing up on, you can use the time before your interview to prepare for that. 

Doing additional research on the company and its goals will impress the interviewer, as it shows you are eager to learn more about them. 


 Strengths and Weaknesses


Understanding your strengths and weakness in your soft and hard skills will give you a better guide on what you need to improve on. Being honest with how good your technical skills are upfront about the skills you don’t have will give the interviewer a better understanding of where you can benefit the company. 

Saying yes to every skill will only put you in the deep end when you get the job and you’re asked to do a particular task that you have no experience in. Selling yourself is important, however, lying doesn’t help the process. 

If you don’t have a particular skill they are looking for but later on get offered a second interview, use that time to impress them by learning more about that skill.


 Ask questions


Interviewers like people who ask questions. It allows them to interact with you more, teach you about their company and learn the kind of person you are. 

These questions can be about the role you are interviewing for. Is it a replacement role? Will training be provided? What would my typical workday look like? How many people are there on the team? Who will I be working closely with? What kind of candidate is the company looking for?

You can also ask more personal questions such as: what do you like about the company? What do you think the company could improve? 

All these questions give both the interviewer and interviewee a better understanding of one another and if they are the right person for the role. There is no harm in asking questions, so ask away!




I hope Part 1 and Part 2 of this Data Science Interview Guide have been helpful. I wish you all the best in your Interview and hope you land the job that you want!

Nisha Arya is a Data Scientist and Freelance Technical Writer. She is particularly interested in providing Data Science career advice or tutorials and theory based knowledge around Data Science. She also wishes to explore the different ways Artificial Intelligence is/can benefit the longevity of human life. A keen learner, seeking to broaden her tech knowledge and writing skills, whilst helping guide others.