Data Analyst Interview Questions – 2/30
Data Analyst Interview Questions
Welcome to the Data Analyst Interview Preparation. Today we will cover some basic topics on SQL, Python and Case Study. Let’s get started with the Data Analyst Interview Questions.
Here’s all you need to become a data analyst:
1. Degree and Domain Expertise – Your college and staying updated with news & trends will be covering this part.
All that’s left below will be available from our side. Read the whole article to get specific resources wrt specific requirements
2. Knowledge of programming
3. Knowledge of Data analysis tools
4. Understanding of Statistics and Machine Learning Algorithms
5. Knowledge of data visualization tools
Videos to cover for Data Analyst Interview Questions :
Knowledge of programming-
Factorial in Python | Part 3 | Code in Python for Data Science | The Data Monk. In this video we will learn about finding factorial in python programming.
Knowledge of Data analysis tools- for this you will need tools like SQL which you can start from Fetch Duplicate Records in SQL | Part 1 | Data Science Interview Questions
Understanding of Statistics and Machine Learning Algorithms- First let’s start by working our way into statistics with “Random variable and random sample in Statistics | Part 1 |Complete Statistics Tutorial|The Data Monk”. In this video, you will learn about Random variables and random samples which are the basics of statistics.
Now let’s get into our first Machine learning algorithm that is Linear regression. So check out this video in which you will learn about linear regression:
“Linear regression in 30 minutes Python | Part 1 | Machine Learning in Python | The Data Monk”
Knowledge of data visualization tools-
Visualization is an important and integral part of a data analyst’s job so start off by watching “ Introduction to visualization in Python | Part 1 | Python Interview Questions | The Data Monk” which will get you started with visualization.
Data Science Concepts
- Python MCQ | Daily Quiz Day 2
- What do you mean by mutable and immutable data type? Explain
- Give pros and cons of SVM
- Explain linear regression and logistic regression
- Count of duplicate rows in SQL
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
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