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

1. Python MCQ | Daily Quiz Day 2
2. What do you mean by mutable and immutable data type? Explain
3. Give pros and cons of SVM
4. Explain linear regression and logistic regression
5. Count of duplicate rows in SQL

The Data Monk services

We are well known for our interview books and have 70+ e-book across Amazon and The Data Monk e-shop page . Following are best-seller combo packs and services that we are providing as of now

1. YouTube channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
   Link – The Data Monk Youtube Channel
   
2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
   Link – The Data Monk website
   
3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions. Do check it out
   Link – The Data E-shop Page
4. Instagram Page – It covers only Most asked Questions and concepts (100+ posts). We have 100+ most asked interview topics explained in simple terms
   Link – The Data Monk Instagram page
5. Mock Interviews/Career Guidance/Mentorship/Resume Making
   Book a slot on Top Mate

The Data Monk e-books

We know that each domain requires a different type of preparation, so we have divided our books in the same way:

1. 2200 Interview Questions to become Full Stack Analytics Professional – 2200 Most Asked Interview Questions
2.Data Scientist and Machine Learning Engineer -> 23 e-books covering all the ML Algorithms Interview Questions
3. 30 Days Analytics Course – Most Asked Interview Questions from 30 crucial topics

You can check out all the other e-books on our e-shop page – Do not miss it

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