2022 Data Science Interview Preparation Guide

Being a data scientist is one of the most lucrative and future proof careers with Glassdoor naming it the best job in America for the third consecutive year in a row with great future growth prospects and a median base salary of $110,000. I have recently made the transition from being a PhD student in Computer Science to a Senior Data Scientist at a large tech company. In this course I give you all the questions and answers that I used to prepare for my data science interviews as well as the questions and answers that I now expect when I am giving interviews to potential data science candidates. The course provides a complete list of 150+ questions and answers that you can expects in a typical data science interview including questions on machine learning, neural networks and deep learning, statistics, practical experience, big data technologies, SQL, computer science, culture fit, questions for the interviewer and brainteasers.

What questions will you learn the answer to?

What is the bias–variance tradeoff?

How would you evaluate an algorithm on unbalanced data?

When would you use gradient descent (GD) over stochastic gradient descent (SDG), and vice–versa?

Why do segmentation CNNs typically have an encoder–decoder style / structure?