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Learner Reviews & Feedback for Introduction to Statistics by Stanford University

4.6
stars
3,970 ratings

About the Course

Stanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you to pursue more advanced topics in statistical thinking and machine learning. Topics include Descriptive Statistics, Sampling and Randomized Controlled Experiments, Probability, Sampling Distributions and the Central Limit Theorem, Regression, Common Tests of Significance, Resampling, Multiple Comparisons....

Top reviews

OK

Nov 17, 2023

The course was incredibly informative. I am glad that I got the opportunity to study in a course on statistics from Stanford University itself. I thank the creators and participants of the course!

AB

May 23, 2023

The lectures were clear and thorough, with a good amount of examples. The quizzes were excellent, and I learned a lot from the feedback. One of the best Coursera courses I have ever taken!

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76 - 100 of 825 Reviews for Introduction to Statistics

By Ayush T

Mar 31, 2025

This is very nice course it helps me to understand basic statistics

By Anton L

Jan 4, 2022

Excellent teacher. Course would benefit from some more examples.

By Jose L

Oct 18, 2022

Excellent course to know basic concepts about Statistics

By mashal k

Oct 26, 2024

best course to learn statistics

By Abdallah A

Feb 9, 2025

great instructors

By Charlib B

Mar 29, 2025

excelente

By Yohan D

Feb 22, 2025

10/10

By Husanboy M

Apr 24, 2023

It was an amazing course, but as a person who had never had strong background experience in algebra and statistics, I struggled a bit in understanding some parts. I also wish that the given examples were animated or illustrated in some way since we are visual beings and it makes things clearer to understand.

Overall, however, I like the way how the course was organized. I am planning to take more courses in statistics since I would like to discuss and understand statistical inferences and linear regressions in deeper.

By Sagar S

Mar 26, 2022

Somewhere dissatistified from the course . At some specific points very little explation is given and you have to study on your own again and again. For example he didn't taught how to calculate Standard Deviation but using through the course. Conclusion: Course was informative but not worth the hype.

By 劉邦均

Jul 12, 2023

I spent a lot of time looking for how the formulas were derived. I hope this class can spend more time explaining the formulas instead of just telling us when to use them. However, the first half of course is still suitable for beginner.

By Maya M

May 17, 2021

A wonderful course. However, I don't think it's strictly a beginner course because several concepts could be better comprehended with a pre-existing knowledge of the subject. This course makes concepts clearer and enhances understanding.

By Nicolás E

Oct 15, 2022

It is a great course, but in my opinion it is complimentary and you should also look for further information on your own. I wouldn't say it's a full course, but more of a companion course of sorts. It's still great though!

By Ahmed K

Feb 22, 2023

I think everything is good in this course, the content, instructor, quizzes, and assessments. but the only thing that bothered me is there are not enough examples to explain the concepts in the videos.

By Alanoofedup

Jul 23, 2023

Gives all the necessary and basic skills needed for a potential college level statistics course. Videos and lessons are a little hard to follow through major jumps in topics. 4/5 stars.

By Rachel L A

Mar 5, 2024

Good for a refresher and overview of methods, although it is a fast paced course

By Fangyu Z

Oct 26, 2024

course content is relatively simple. Would expect it to be deeper.

By Julia S

Sep 5, 2024

some test questions' answers aren't correct, please check again.

By Shawn W

Dec 23, 2018

Good material, very very dry instructor.

By Vlad B

Sep 23, 2022

Good:

- there is enough material to be called Introduction to Statistics.

- lecture questions & quizzes for application of critical thinking.

- formulas are not complicated by symbols, which makes it easier for you to understand them and reread

- Normal Approximation is the best topic described here.

Bad:

- lecture slides don't really complement intstructor's speech and vice versa. In fact, the instructor repeats the text on the slides in most cases

- lecture slides contain a lot of text which is not well structured. They also contain very few illustrative figures and tables, but where they are, you immediately understand what it is about ( e.g. Normal Approximation).

Due to the fact that most of the theory is presented in dry text, I advise you to use Excel (or similar tools) to understand what it is about.

By Javier D

Aug 20, 2024

Un curso riguroso y mucho más exigente de lo que parece a primera vista para el que no conoce la materia. Me ha llevado un gran esfuerzo seguirlo y he buscado muchos materiales complementarios para entenderlo. La traducción al español, por ser automática, a veces dificulta el seguimiento. Agradezco mucho al profesor su profundo conocimiento del tema y a la universidad de Stanford que permitan su seguimiento. He sugerido en la encuesta que se aporten más ejercicios de práctica antes de los controles porque los contenidos son muy densos y abundantes.

By YC L

Mar 8, 2025

I truly appreciate the class -- It helped me to quickly refresh many important statistics concepts. However I feel the class is designed for neither beginners nor advanced students. The first few modules are beginner friendly and too easy for advanced users (not a problem, I can fast forward). Starting from the middle, modules have formulas popping up without sufficient explanations. Even if I learned these before, I needed to watch additional materials (e.g. StatQuest videos on YouTube) to fully refresh my memory.

By Piotr

Dec 3, 2022

Very condensed course with a clear structure, intelligently designed quizzes, and a good lecturer.

However, I needed to do a lot of additional reading from other sources to understand the content. IMHO, the course could have much more explanations on the topics and provide much more practical exercises. I rather see the course as a basic framework for your own, deepened learning that as a self-sufficient training.

By Heybin J

Nov 2, 2022

This is hard to say for beginners. Coming from a social science background without mathematical knowledge, I struggled a lot to keep up with the course content. Not very kind in defining the basic concepts and proving the formulas. I've always been lost in the middle of each lesson and had to google relevant materials.

By Zahid S

Aug 18, 2022

Time and again, there were explanations missing for why certain things were done the way they were and theoretical foundations not completely set up. Decent course as an introduction but I have seen better and one does not necessarily need to skimp on the theoretical derivations to make an introductory course.

By gabriele g

Sep 20, 2024

Some modules are really well made, others (eg module 5) are too fast and approximative. They introduce concepts without the aim of learning. Not more usefull than a wikipedia page