Most asked Business Analyst Questions -10/30
Welcome to the Most asked Business Analyst Questions. Today we will cover some basic topics on SQL, Python, Machine learning and Case Study. Let’s get started with the Most asked Business Analyst Questions.

Videos to cover for Most asked Business Analyst Questions:
- Start by watching Fibonacci Series and its cases in Python | Part 11 | Code in Python for Data Science | The Data Monk. In the video you will learn about the Fibonacci series and its cases in python.
- In today’s SQL lesson you should watch Where vs Having in SQL | Part 9 | Data Science Interview Questions where you will learn 2 functionalities of SQL that are Where and Having and comparison between them.
- For today’s statistics lesson you should watch Poisson Distribution in Python | Part 7 | Complete Python Numpy Tutorial | The Data Monk. After watching this video you will know about Poisson Distribution.
- About today’s Machine learning work, watch Decision Tree in Machine Learning – Introduction |Machine Learning in Python|The Data Monk. This video will walk you through Decision trees and the concepts and applications of Decision trees.
- Watch Box Plot and Violin Plot in Python| Part 9| Visualization in Python | The Data Monk to step ahead in you progress with Data visualization. This video will teach you about Box plots and violin plots and their implementation in python.
To check your learnings head to:
- Create a linear regression model within 20 minutes in Python
- Differentiate between Union, Minus and Intersect
- What is Scope Resolution in Python?
- Define Degree of Freedom with example
- Model with high R^2 and low performance in Linear and Logistic Regression
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
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