Best Online Resources to Learn Data Analysis in 2024-(Courses, Books, YouTube, etc)

Best Resources to Learn Data Analysis

Today’s age is of the Data age, where lots of data is generated daily. One single Facebook “like” also generates data. So, you can imagine how much data is generated daily. So to find out useful information from a huge amount of data, Data Analyst comes into the picture. That’s why Data Analyst is a profitable, secure, and most demanding career. But when it comes to learning, most of us are stuck and don’t know where to learn. That’s why I thought to collect and combine all the Best Online Resources to Learn Data Analysis.

In this article, you can find the best online courses, tutorials, books, and YouTube tutorials to learn data analysis.

So give your few minutes and find out the Best Online Resources to Learn Data Analysis. You can bookmark this article so that you can refer to this article later.

Now without further ado, let’s get started-

Best Online Resources to Learn Data Analysis

Before discussing the resources, I would like to tell you what topics or skills you need to learn for data analysis-

Skills Required for Data Analysis-

1. Programming

Programming knowledge is a must-have skill for a Data Analyst. This is the core skill that makes a Data analyst apart from Business Analyst. You must know one or more programming languages like Python, R, or SAS.

Along with that, you should be familiar with data science libraries and packages (such as ggplot2, reshape2, NumPy, pandas, and scipy). Knowledge of all programming languages is not required. You can choose any language.

2. Statistics

To become a successful data analyst, you should know Statistics. Statistics knowledge will give you the ability to decide which algorithm is good for a certain problem.

Statistics knowledge includes statistical tests, distributions, and maximum likelihood estimators. All are essential in data analysis.

3. Mathematics

As a data analyst, you have to deal with numbers. That’s why strong knowledge of Math is required. You should be familiar with multivariate calculus and linear algebra. Along with that, you should have an understanding of matrix manipulations, dot products, eigenvalues and eigenvectors, and multivariable derivatives.

4. Data Wrangling

Data wrangling is all about data collection and data cleaning. So, for that, you should know about database systems- both SQL-based and NoSQL-based. You should also be familiar with relational databases such as PostgreSQL, MySQL, Netezza, and Oracle, as well as Hadoop, Spark, and MongoDB.

5. Data visualization

As a Data Analyst, you have to showcase your findings in a visual form, so that stakeholders can understand them properly. This is an important step for a Data Analyst. That’s why the knowledge of Data Visualization is important. And for that, you should be familiar with data visualization tools like ggplot, matplotlib, Seaborn, and D3.js.

You should know various Reporting tools like Tableau and power bi. These tools have in-built visualization reporting tools. By drag and drop, you can create a wonderful presentation report.

6. Machine Learning

After having all previous skills, it’s good to have a basic knowledge of Machine Learning. Not all Data Analysts have Machine Learning knowledge, but if you want to get the extra privilege, it’s better to have Machine Learning skills.

You don’t need to learn the theory and implementation details behind all ML algorithms. All you need to know is its pros and cons, as well as when to and when not to apply these algorithms to a dataset. 

So, these are some must-have skills for Data Analysis, now let’s move to the Best Online Resources to Learn Data Analysis.

Resources to learn Data Analysis

For your convenience, I have created separate tables for each resource. So let’s start with online courses-

Online Courses

TopicsOnline Courses
1. Data Analysis-1. Become a Data Analyst Udacity
2. Intro to Data Analysis– (Free Course) Udacity
3. Data Science SpecializationJohns Hopkins University
4. SQL for Data Analysis(Free Course) Udacity
5. Data Analysis with R(Free Course) Udacity
6.  IBM Data Science Professional Certificate.IBM
7. Data Analysis and Visualization(Free Course) Udacity
8.  Applied Data Science with Python SpecializationUniversity of Michigan
9. Data Analyst Masters Program Edureka
2. Programming language1. Python for Everybody – University of Michigan
2. Introduction To Python Programming– Udemy
3. Python Core and Advanced– Udemy
4. Crash Course on Python– Google
5. Python for Absolute Beginners!– Udemy
6. Introduction to Python Programming– Udacity
7. Python 3 Programming Specialization– University of Michigan
8. R Programming – Johns Hopkins University
9. Programming for Data Science with R– Udacity
10. R Programming A-Z™– Udemy
3. Statistics1. Intro to Statistics (Free Course) Udacity
2. Statistics with R SpecializationDuke University
3. Statistics with Python SpecializationUniversity of Michigan
4. Intro to Inferential Statistics(Free Course) Udacity
5. Intro to Descriptive Statistics(Free Course) Udacity
6. Data Science: Statistics and Machine Learning Specialization– Johns Hopkins University
7. Basic StatisticsUniversity of Amsterdam
8. Statistical Analysis with R for Public Health SpecializationImperial College London
9. Business Statistics and Analysis SpecializationRice University
10. Statistics for Data Science and Business AnalysisUdemy
11. Intro to Statistics– Udacity
4. Mathematics1. Mathematics for Machine Learning Specialization– Imperial College London
2. Mathematics for Data Science Specialization– Coursera
3. Data Science Math Skills– Duke University
4. Intro to Statistics
5. Probability – The Science of Uncertainty and Data– MITx
6. Basic Statistics– University of Amsterdam
7. Probabilistic Graphical Models Specialization– Stanford University

8. Introduction to Calculus– The University of Sydney
9. Probability and Statistics– University of London
5. Data Wrangling1. Learn SQL– Udacity
2.  Excel to MySQL: Analytic Techniques for Business SpecializationDuke University
3.  Learn SQL Basics for Data Science SpecializationUniversity of California, Davis
4.  Databases and SQL for Data ScienceIBM
5. Modern Big Data Analysis with SQL SpecializationCloudera
6. Introduction to Structured Query Language (SQL)University of Michigan
7. Data Warehousing for Business Intelligence SpecializationUniversity of Colorado System
8. SQL Essentials Training & Certification- Edureka
9. The Complete SQL Bootcamp 2024 Udemy
10. SQL – MySQL for Data Analytics and Business Intelligence- Udemy
6. Data visualization1. Data Visualization with Tableau SpecializationUniversity of California, Davis
2. Data Visualization with Advanced ExcelPwC
3. Data Visualization in Tableau– Udacity
4.  Information Visualization SpecializationNew York University
5. Data Visualization with PythonIBM
6. Data Visualization and Communication with TableauDuke University
7. Data Visualization– Coursera
8. Tableau 2024 Certified Associate Exam Guide A-Z (w Datasets)– Udemy
9. Complete Tableau 2024 Training for Absolute Beginners– Udemy
7. Machine Learning1.  Become a Machine Learning Engineer  (Udacity)
2. Machine Learning– Stanford University
3. Machine Learning with Python– IBM
4. Intro to Machine Learning with TensorFlow  (Udacity)
5. Machine Learning A-Z™: Hands-On Python & R In Data Science -Udemy
6. Python for Data Science and Machine Learning Bootcamp– Udemy
7. Advanced Machine Learning Specialization– Coursera

Text Books

TopicsText Books
1. Programming Language1. Python Crash Course by Eric Matthes
Buy on Amazon or download PDF from here.

2. Head First Python: A Brain-Friendly Guide by Paul Barry
Buy on Amazon or download PDF from here.

3. Learn Python the Hard Way by Zed A. Shaw 
Buy on Amazon or download PDF from here.

4. Automate the Boring Stuff with Python by Al Sweigart 
Buy on Amazon or download PDF from here.

5. R for Data Science by Hadley Wickham
Buy on Amazon or download PDF from here.

6. Machine Learning with R by Brett Lantz 
Buy on Amazon

7. The Book of R: A First Course in Programming and Statistics by Tilman M. Davies
Buy on Amazon or download the PDF here.
2. Statistics1. An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
Buy this book on Amazon-An Introduction to Statistical Learning
You can download the pdf version of this book from here.

2. Practical Statistics for Data Scientists by Peter Bruce
Buy this book on Amazon-Practical Statistics for Data Scientists
You can download the pdf version of this book from here.

3. Probability and Statistics for Data Science by Norman Matloff
Buy this book on Amazon-Probability and Statistics for Data Science.

4. The Art of Statistics: How to Learn from Data by
David Spiegelhalter
Buy this book on Amazon or download the PDF here.

5. How to Lie with Statistics by Darrell Huff
Buy this book on Amazon or download the PDF here.
3. Mathematics1. Introduction to Probability by Joseph K. Blitzstein, Jessica Hwang
Buy this book on Amazon- Introduction to Probability.
You can download the pdf version of this book from here.

2. Mathematics for Machine Learning by Marc Peter Deisenroth
Buy on Amazon or download PDF from here.

3. Linear Algebra and Optimization for Machine Learning by
Charu C. Aggarwal
Buy on Amazon or check the table of content from here.
4. Data Wrangling1. The Data Wrangling Workshop by Brian Lipp
Buy on Amazon.

2. Hands-On Data Analysis with Pandas: Efficiently perform data collection, wrangling, analysis, and visualization using Python by Stefanie Molin
Buy on Amazon

3. Data Analysis From Scratch With Python by  Peters Morgan
Download the PDF here

4. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney
Buy on Amazon or download the PDF here.
5. Data Visualization1. Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic
Buy on Amazon or download the PDF here.

2. Data Visualization: A Practical Introduction by Kieran Healy
Buy on Amazon or download the PDF here.

3. Effective Data Visualization: The Right Chart for the Right Data by Stephanie Evergreen
Buy on Amazon or download the PDF here.

4. Data Visualisation: A Handbook for Data-Driven Design by Andy Kirk 
Buy on Amazon or download the PDF here.
6. Machine Learning1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron
Buy on Amazon or download from here.

2. The Hundred-Page Machine Learning Book by Andriy Burkov 
Buy on Amazon or download from here.

3. Machine Learning For Absolute Beginners by  Oliver Theobald
Buy on Amazon or download from here.

4. Machine Learning: An Applied Mathematics Introduction by Paul Wilmott
Buy on Amazon


1. Programming Language1. The Python Tutorial (PYTHON.ORG)
2. Python 3 Tutorial (SOLOLEARN)
3. Python Tutorial- MLTUT
5. Google’s Python Class
7. Python Tutorial- Tutorials Point
8. Python Tutorial W3Schools
9. R Tutorial- Tutorials Point
10. R Tutorial- Statmethods
2. Statistics1. Statistics and probability– Khan Academy
2. Statistics – Probability (TutorialsPoint)
3. Probability and Statistics (MathisFun)
4. Statistics Tutorial- TutorialsPoint
3. Mathematics1. Probability on Khan Academy
2. Probability Tutorial (Stat Trek)
3. Probability theory (Wikipedia)
4. Introduction to Calculus (MathisFun)
5. Calculus 1 on Khan Academy
4. Data Wrangling1. Python – Data WranglingTutorialsPoint
2. Python Data Wrangling Guide- Noble Desktop
3. Python Data Wrangling Tutorial: Cryptocurrency EditionElite Data Science
4. Data Wrangling with pandas Cheat Sheet
5. Data Visualization1. Tableau Tutorial JavatPoint
2. Data VisualizationTutorialsPoint
3. Tableau Tutorial–
4. Data Visualisation with TableauDataCamp
6. Machine Learning1. Machine Learning with Python Tutorial- Tutorials Point
2. Machine Learning Basics– MLTUT
3. Machine Learning Tutorial- Javatpoint
4. Machine Learning– GeeksforGeeks

YouTube Videos

TopicsYouTube Videos
1. Programming Language1. CS DOJO
2. Programming with Mosh
3. Telusko
4. Clever Programmer
5. Corey Schafer
6. R Programming Tutorial–
7. R Programming Full Course– Simplilearn
2. Statistics1. Statistics for Data Science– Great Learning
2. Statistics – A Full University Course on Data Science
3. Statistics for Data Science Course– Intellipaat
4. Statistics Course for Data Science | Statistics CourseMarinStatsLectures-R Programming & Statistics
3. Mathematics2. Mathematics for Machine Learning [Full Course]– Edureka
3. Mathematics For Machine Learning- Simplilearn
4. Mathematics for Machine Learning– My CS
4. Data Wrangling1. Machine Learning Data Pre-processing & Data Wrangling using PythonThe AI University
2. Data Wrangling: dplyrOHI-Science
5. Data Visualization1. Data Visualization with D3.js – Full Tutorial Course-
2. Data Visualization Tutorial For Beginners- Simplilearn
3. Data Visualization Tutorialby Krish Naik
4. Intro to Data Visualization with R & ggplot2Data Science Dojo
5. Seaborn python tutorial | Data Visualization Using Python Seaborn– Great Learning
6. Tableau Full CourseEdureka
7. Power BI Tutorial From Beginner to ProAvi Singh – PowerBIPro
6. Machine Learning1. Machine Learning with Python– Great Learning
2. Machine Learning Tutorial Python– codebasics
3. Python Machine Learning Tutorial- Programming with Mosh
4. Machine Learning by Krish Naik

And here the list ends. I hope these resources will definitely help you to learn and master data analysis. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.


In this article, I tried to cover all the Best Online Resources to Learn Data Analysis from online courses to YouTube videos. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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Though of the Day…

It’s what you learn after you know it all that counts.’

John Wooden

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Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.

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