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Daily Quiz to crack Data Science interview | Day 2

Crack data science interview – We are a group of people working full time in some of the most reputed organization
each having more than 5 years of analytics experience and we take interviews to recruit in our team.

At The Data Monk, we try to put as many concepts and questions which are asked in any Analytics domain interview to help you in cracking these data science interviews.

Solve all the 140 questions which we will be putting in the next 28 days and you will understand where your preparations lies.

No. of Days – 28
No. of participant registered till now – 600 (24th May’21)
No. of Questions – 140
No. of articles shared – 28
No. of free e-books – 4 (Every weekend to those who create an account on the website)
Topic – SQL, Python, Case Study, Machine Learning concepts, Statistics

All you need to do is to create your account on our website and start participating in the quiz. Upvote the correct answers.
Quiz to Crack Data Science Interview

Every Day we will share 5 questions, one each on SQL, Python, Statistics, Case Study and Machine learning algorithm. It will be accompanied with one article.
Ideally you should read as many articles as possible published on the website. But for the starters do read and answer the daily questions.



Daily Quiz Day 2
SQL – Calculate the cumulative multiplication
Case Study – Estimate if you should buy a restaurant at a given price in Gurugram
Statistics – Can you explain confidence Interval in the simplest way with example?
Python –  How to access values of a set? Is set indexed and ordered?
Machine Learning – Every t-value has a p-value, explain

Link to the Day 1 quiz

For any help, issues, resume overview, buying books, reviewing courses, etc. You can email us at nitinkamal132@gmail.com or contact@thedatamonk.com

Crack data science interview


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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