Top Data Science Interview Questions: Video Explanations

Top Data Science Interview Questions: Video Explanations, Crack your next data science interview with breeze.

NEW | Created by Shivank Goel | English [Auto-generated]

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Description

In this course I will be providing Detailed Video Solutions to the most Frequently Asked Questions in Data Science Interviews. The average data scientist salary is over $113k according to Glassdoor. In 2012, Harvard Business Review claimed data scientist to be “the sexiest job of the 21st century”. However, a more recent article from HBR, "The Kinds of Data Scientist", also claims the job to be one of the vaguest. A data scientist role has to gain a very diverse skillset, including a good understanding of -

Machine Learning

Probability and Statistics

Data Structures and Algorithms

Big Data Technologies

And much more...

In this course, I will cover all the popular interview questions from each of these categories that have been asked in data science interviews. Each category will be further organized into subcategories to give you an organized and comprehensive overview of data science interview questions. This is the most comprehensive course for data science interview preparation that you can find online.

Why Top Data Science Interview Questions: Video Explanations?

Here are top four reasons this course can definitely help you ace your next data Science interview.

1. Perfectly Organized.

Data Science is a very broad topic, and it gets complex in absence of a proper structure. We divide the complete course into well-organized sections so you can easily navigate to the topics of your interest.

2. Detailed Video Explanations.

I explain each question in a clear, step-wise manner. I also explain various nuances and other possible related concepts with each each question. After this course you will be able to explain each concept in complete detail to your interviewer to it's very core, and earn all those extra points that you can!

3. Well Documented Code: Jupyter Notebooks (Python)

All the coding questions are well commented and properly organized in the form of Jupyter notebooks. The videos will go through the code in a step-wise manner. I will provide all the Jupyter notebooks to you for reference.

4. Regularly Updated.

The course will be regularly updated with new interview questions and concepts.

Who is this course meant for?

This course would be most helpful for all the aspiring data science professionals who would appear for a data science interview in nearby future.

Machine Learning Engineers

Data Scientists / Analysts

Big Data Engineers

Software Engineers

Product Managers

Any other data science job title...

However, the course will also prove useful to anyone who is:

Interested in understanding the basic concepts of data science