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Data Science Interview Questions – 1/30

Data Science Interview questions
It’s the first post of the upcoming 30 posts. In each post, you will have 5 videos to cover and 5 questions/articles to cover the basics.
The effort required – 1.5 to 2 hours
Outcome – In 30 days you will cover almost all the topics/concepts which are asked in an Analytics interview. Once done, you can start applying and you will find more than 80% of questions from these topics.

Don’t skip any video or article. Solve the questions which are mentioned in the post and put them on the bookmark. Better to have a dedicated notebook for these 30 days.

All the best for Data Science Interview Questions πŸ™‚

Data Science Interview Questions
Welcome to the first day of the Data Science Interview Preparation. Today we will cover some basic topics on SQL, Python, and Case Study. Let’s get started with the Data Science Interview Questions.

Data Science Interview Questions



Videos to cover for Data Science Interview Questions :

Sum of digits in Python
In this video, you will get familiar with the programming in python by adding all the digits of a given number to find the sum of the digits.

Type, String, Index-Reverse Index in Python
In this tutorial, you will understand what are data types, the various data types present in python and various use cases for these data types.

Sum, prod of digits, list in Python
In this video, you will learn to find the product of the digits of a given number

Maximum and Minimum in Python
You are given 2 numbers. You need to print out which one is greater than the other. Check out this video to learn how.

Factorial in Python
You might have found factorials on paper before. But today you will learn to do it with the help of python from this video.

5 must read articles

Machine Learning MCQ
Python Quiz 3 | Daily Quiz 3
Python MCQ | Daily Quiz Day 2
Python for Data Science | Quiz 1
Amazon Leadership Principle Questions for interview

The Data Monk Interview Books β€“ Don’t Miss

Now we are also available on our website where you can directly download the PDF of the topic you are interested in. At Amazon, each book costs ~299, on our website we have put it at a 60-80% discount. There are ~4000 solved interview questions prepared for you.

10 e-book bundle with 1400 interview questions spread across SQL, Python, Statistics, Case Studies, and Machine Learning Algorithms β€“ Ideal for 0-3 years experienced candidates

23 E-book with ~2000 interview questions spread across AWS, SQL, Python, 10+ ML algorithms, MS Excel, and Case Studies β€“ Complete Package for someone between 0 to 8 years of experience (The above 10 e-book bundle has a completely different set of e-books)

12 E-books for 12 Machine Learning algorithms with 1000+ interview questions β€“ For those candidates who want to include any Machine Learning Algorithm in their resume and to learn/revise the important concepts. These 12 e-books are a part of the 23 e-book package

Individual 50+ e-books on separate topics

Important Resources to crack interviews (Mostly Free)

There are a few things which might be very useful for your preparation

The Data Monk Youtube channel – Here you will get only those videos that are asked in interviews for Data Analysts, Data Scientists, Machine Learning Engineers, Business Intelligence Engineers, Analytics Manager, etc.
Go through the watchlist which makes you uncomfortable:-

All the list of 200 videos
Complete Python Playlist for Data Science
Company-wise Data Science Interview Questions β€“ Must Watch
All important Machine Learning Algorithm with code in Python
Complete Python Numpy Playlist
Complete Python Pandas Playlist
SQL Complete Playlist
Case Study and Guesstimates Complete Playlist
Complete Playlist of Statistics

About TheDataMonkGrand Master

I am the Co-Founder of The Data Monk. I have a total of 6+ years of analytics experience 3+ years at Mu Sigma 2 years at OYO 1 year and counting at The Data Monk I am an active trader and a logically sarcastic idiot :)

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Comments ( 6 )

  1. Fortunately I know these already?. Thanks for these at one place ?.

  2. Completed. Thanks for the content πŸ™‚

  3. Hey Can you Please let us know from where to Practice coding side by side for Python, since the main thing is implementation after learning things.? I am a bit confused regarding practicing Python w.r.t Analytics For eg. SQL can be easily studied from W3 school and then practiced from SQL ZOO or Hacker Rank. Also in today’s quiz I didn’t knew any ML concepts. From where do I study that?