Best Resources to Learn Statistics for Data Science (Online Courses, Books, YouTube, etc)- 2024

Best Resources to Learn Statistics for Data Science

Are you looking for the Best Resources to Learn Statistics for Data Science?… If yes, then this article will help you and provide some of the best resources to learn statistics for data science including online courses, books, YouTube tutorials, etc.

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

Now without further ado, let’s get started-

Best Resources to Learn Statistics for Data Science

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

Note- If you are reading this article on Mobile, Please slide left for Full Table.

Online Courses

S/NCourse NameRatingTime to Complete
1. Intro to Statistics Udacity (FREE Course)NA2 Months
2.Statistics with R Specialization– Duke University (Coursera)4.6/57 Months
3.Practical Statistics Udacity4.7/535 hours
4. Statistics with Python Specialization– University of Michigan (Coursera) 4.5/53 months
5. Statistician with R– DatacampNA108 hours
6.Introduction to StatisticsCoursera (FREE Course) 4.5/515 hours 
7.Data Science: Statistics and Machine Learning Specialization– Johns Hopkins University (Coursera) 4.4/55 Months
8.Statistics Fundamentals with R– DatacampNA20 hours
9.Statistical Analysis with R for Public Health Specialization– Imperial College London (Coursera) 4.7/54 Months
10. Basic Statistics– University of Amsterdam (Coursera) 4.7/526 Hours
11. Statistics Fundamentals with Python– DatacampNA19 hours
12.Learn Statistics with Python– CodecademyNA15 hours
13. Intro to Inferential StatisticsUdacity (FREE Course) NA2 Months
14. Intro to Descriptive StatisticsUdacity (FREE Course) NA2 Months
15.Introduction to Bayesian StatisticsUdemy (FREE Course) 4.8/51hr 19min


S/NBook NameAuthorBuy/Download
1. Practical Statistics for Data ScientistsPeter Bruce, Andrew Bruce1. Buy on Amazon
2. Download EBook
2.Naked StatisticsCharles Wheelan 1. Buy on Amazon
2. Download EBook
3. Head First StatisticsDawn Griffiths1. Buy on Amazon
2. Download EBook
4. An Introduction to Statistical LearningGareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani1. Buy on Amazon
2. Download EBook
5. Think StatsAllen B. Downey1. Buy on Amazon
2. Download EBook
6. How to lie with statisticsDarrell Huff1. Buy on Amazon
2. Download EBook
7. Statistics in Plain EnglishTimothy C. Urdan1. Buy on Amazon
2. Download EBook
8. Bayesian Methods for HackersCameron Davidson-Pilon 1. Buy on Amazon
2. Download EBook


S/NTutorial NameProvider
1. Statistics and probabilityKhan Academy
2. Statistics TutorialTutorialsPoint
3. Statistics Tutorialw3Schools
5. Statistics and ProbabilityEdureka
6.AP Statistics TutorialStat Trek
7. Statistics TutorialKaggle
8. Statistics in SPSSJavaTpoint

YouTube Videos

S/NTutorial NameChannel Name
1. Statistics for Data ScienceGreat Learning
3.StatisticsKhan Academy
4.Statistics Course for Data Science MarinStatsLectures-R Programming & Statistics
6. Statistics and Probability Full CourseGeek’s Lesson
7.Statistics for Data Science CourseIntellipaat
8.Introduction to StatisticsMIT OpenCourseWare
9.Introduction to Statistics 365 Data Science
10.Statistics And ProbabilityDr.Gajendra Purohit

And here the list ends. I hope these resources will help you to learn and master Statistics for Data Science. 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 resources to learn statistics for data science 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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