6 Types of Interviews You Need to Know for Data Science Jobs in 2023

In this video, we cover what you need to know to prepare for your interviews. That includes what types of interviews you should expect based on what position you are targeting and the approach I recommend to prepare efficiently.

We’ll look at six types of interviews, including:
- Product Case Interviews
- SQL Interviews
- Probability and Statistics Interviews
- Coding Interviews
- Machine Learning Interviews
- Behavioral and Experience Interviews

🎞️ Playlist: Ace the Product Case Interview https://bit.ly/3Id4HQe
🎞️ Playlist: Ace the Machine Learning Interview https://bit.ly/3tbpGPa
🎞️ Playlist: Ace the Statistics Interview https://bit.ly/3waQXTA
🎞️ Playlist: Ace the Behavioral Interview https://bit.ly/3Ibpxzr

✔️ Target the Right Position | Tech Jobs for Pros and New Grads | Land a Data Scientist Job in 2023
   • Data Scientist Jobs: Which Position I...  
✔️ Get Data Science Interviews | Get Referrals | Land a Data Scientist Job in 2023
   • The Secret to Getting Hired in Data S...  
✔️ Making the Most of Your Study Time | Land a Data Scientist Job in 2023
   • Get Your Dream Data Science Job in 20...  

🟢Get all my free data science interview resources
https://www.emmading.com/resources
🟡 Product Case Interview Cheatsheet https://www.emmading.com/product-case...
🟠 Statistics Interview Cheatsheet https://www.emmading.com/statistics-i...
🟣 Behavioral Interview Cheatsheet https://www.emmading.com/behavioral-i...
🔵 Data Science Resume Checklist https://www.emmading.com/data-science...

✅ We work with Experienced Data Scientists to help them land their next dream jobs. Apply now: https://www.emmading.com/coaching

// Comment
Got any questions? Something to add?
Write a comment below to chat.

// Let's connect on LinkedIn:
  / emmading001  

====================
Contents of this video:
====================
00:00 Introduction
02:00 Product Case Interview
03:27 SQL Interview
04:20 Probability and Statistics Interview
05:45 Machine Learning Interview
06:45 Coding Interview
08:04 Behavioral & Experience Interview
10:09 Recommended Approach