Python Questions for Data Science Interview
Python Questions for Data Science Interview
Today we have a very interesting Case study which was asked in the 3rd round of Amazon. Do give it a good try.
Also, we will try to put a normal implementation of window functions in SQL. Neither in SQL nor in Python will the interviewer expect a direct function as an answer to his question.
If the interviewer asks you to sort a list in Python, he is not expecting sort() function as your first answer. He want to check the concept.
If you have still now created an account on the website you will be missing out on three things:-
1. A regular practice of writing code or your ideas in case study
2. Our regular mails with articles and old questions
3. A weekly free e-book on Data Science interview questions
Python Questions for Data Science Interview
SQL – Pivot without pivot function in SQL
Python – N-fold cross validation in Python
Case Study – Price Optimization of restaurant | Amazon Case Study
Statistics – Difference between R squared and Adjusted R Squared
Machine Learning – Confidence Interval explanation
Article – Difference between forecasting and prediction
Daily Quiz Repository
Daily Quiz Day 1 Questions
Daily Quiz Day 2 Questions
Daily Quiz Day 3 Questions
Daily Quiz Day 4 Questions
We are pleased to inform that we have launched our Live Training session for anyone who wish to learn about Analytics domain. It was invite based for the last 3 batches. Now we are open to all.
Check all the details here – The Data Monk Super 10 and Super 20 Live Classes
There are some good interview questions on Guru.com
The Data Monk Interview Books – 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 – 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 – 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 – 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 – 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
