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Learner Reviews & Feedback for Introduction to Statistics by Stanford University

4.6
stars
2,867 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

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!

BH

Jun 26, 2023

I started this course to get into machine learning and AI. This was packed with a lot of information to get you started. It doesn't got deep into each topic but great for an overal view.

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76 - 100 of 610 Reviews for Introduction to Statistics

By Japheth C

Jan 11, 2023

This is more fitting to someone who has a background in mathematics and statistics and wants to refresh their knowledge (and potentially learn some additional topics in Statistica Analysis). If you have never done any statistics and probability before you will struggle or lose the motivation to complete the course.

The lecturer is clearly knowledgeable in the area, however, there needs to be a lot more content to practice. I think having more examples to explain concepts and more examples to practice will be a big plus.

Weeks 1 to 3 and maybe 4 will be a breeze through if you have some stats background. Otherwise, you struggle.

For me it was decent. I was able to refresh my knowledge but learnt of new concepts. Those concepts I will have to find other material to read in order to fully understand them.

By Ben H

Jul 10, 2023

This course covers a lot of relevant material. However much of the material is covered WAY too fast to be digested. For example the material on ANOVA is basically incomprehensible. Furthermore the course is glitchy, with questions popping up while the lecture is ongoing and often closing before you have a chance to answer. This course could definitely be improved.

By Seb G

Dec 11, 2023

While the course covers a lot of material and gives a good overview, the explanations are often rushed and there's not emphasis on working through examples, especially in the later weeks (after week 4). It's also odd that there are no suggestions for extra reading, when extra reading is almost going to be required to really master any of the material.

By Wendy K M

Nov 8, 2022

This course took me longer than expected. It is definitely in my opinion not an introductory level course and should be pitched as an intermediate level. However, I was happy to get the experience of doing the course. I felt at time the lecturer could have gone into more in depth explanation of the material.

By João A A d S

Feb 20, 2024

85% of the course at the moment. It is what it is, just an introduction. If you already know statistics, this is a good refresher, but if that's not the case, I wouldn't recommend it.

By Taufikur R

Nov 20, 2023

This maybe is a good course but I think it is best for those who want to have a revision to their concepts. It is not the best out there for complete begineers

By Yahya M

Feb 6, 2024

Very bad explanation, you need a degree in statistics to understand what the instructor is saying

By Oyeleye I

Sep 5, 2022

Not explanatory. Finished but can't find the certificate😶

By Kunal J

Feb 1, 2024

The concepts are not very clearly explained.

By ‍이시현(학부생-소프트웨어전공)

Apr 9, 2022

설명이 너무 부족

By Javiera A J

Jul 14, 2023

Es un curso muy completo que cubre todo lo básico pero sinceramente existen cursos mejores. No tiene ejercicios de práctica ni material adicional para practicar. Las explicaciones son insipidas, dificiles de entender y el curso se hace demasiado largo y aburrido. Los videos cortos y demasiadas veces se saltan explicaciones de como llegron a ciertos valores. El material es antiguo, dificil relacionar los terminos, no conectan ideas y pasan de un tema a otro que cuesta seguir el hilo. Si tienes cierto conocimiento de estadistica funciona como recordatorio pero sino existen cursos ucho mejores.

By Anonymous L

Aug 15, 2023

It's undeniably that the instructor is an expert in statistics, however, his teaching style, technique and the way he taught was extremely hard to understand. Please, please and please simplify the statistics. The primary reason why I wanted to learn this course was because I wasn't good at it and I needed someone who can explain these tough and miserable topics simply not a rocket science.

By أكرم و

Nov 9, 2023

The instructor assumes a high level and also somehow a pervious knowledge of the basics. So he goes very quick on topics without enough examples, and in some weeks you will find that the quiz questions are extremely hard in comparison with lecture level. I don't recommend this course for a beginner since it looks more like a quick review for someone who had already taken this course.

By Zaynab Q

Jul 27, 2022

There are soo many mathematical errors and in general the course is rushed and full of mistakes. There appears to have been little to no cross examination of the modules otherwise the mistakes would have been corrected! There is also no help at all in the discussion forum from the Professor himself. I would not recommend!!

By Victor C

May 21, 2023

The instructor leaves out formulas that would be useful to know during the exams. I've gone through long and tedious google searches and I'm unable to find the answer. I know this because I often review his videos to try to find the right formula to use.

By Eric L

Jul 27, 2023

The videos do not help with undersatanding how to answer the quiz questions at all aside from the more basic topics (first 3 or 4 modules). After that I just feel like I'm not learning anything anymore...Please restructure this course.

By Sakshi D

May 14, 2022

The videos and the content is not available do not enroll ;/ I think you only get access to it if you can pay despite of the instructions saying we can enroll for free so i guess it is pointless to enroll ???

By Jonas B

Dec 12, 2023

I REALLY Don't understand how this course can be rated as for complete beginners! It's WAYY more advanced and concepts are NOT explained good enough!

By Mohamad A

Sep 26, 2023

very disappointing, slow, and unbearable content.

By Harold

Oct 16, 2021

No well explained in some theorem

By Rodrigo V P

Feb 14, 2024

Allow me to express my deepest gratitude for the incredible Introduction to Statistics course offered by Coursera in partnership with Stanford University. It was a truly enriching experience, where I gained fundamental knowledge in an accessible and inspiring manner. I firmly believe that learning is an invaluable inheritance that no one can take away from us, and this course has certainly enriched my skill set. I sincerely appreciate the opportunity granted to me to participate in this high-quality educational program. Thanks to it, I was able to develop new skills that not only helped me progress in my studies but also opened doors in the job market. I am immensely grateful for the knowledge gained and for the opportunity for personal and professional growth that this experience provided. Thank you for investing in my development and for contributing to my success.

By Mar'attus S

Sep 27, 2022

Due to this course I learn more about statictics from the very fundamental concept. I never understand in detail about how a statistical test work but this course teach me the basic idea for every test in statistics.

I highly appreciate the opportunity the team give to us to learn in free. I hope I can purchase my certificate latter. Thank you very much Prof. Guenther Walther, your explanation and description really help me reevaluate my comprehention about statistics. The feedback in every assignment is a big help to bridge me to the right answer. I would reread and rewatch this course to deepen the part that still hard for me to understand such as conditional probability and the bayesian rule.

Thank you to provide accesible knowledge to every learner around the world. Best regard...

By Administration G N

Dec 14, 2022

you’ve been so much more than a teacher for us. You’ve been our mentor, our support and our guide. Thank you for everything you have done for us!

 

 

I know your job is stressful and the hours are long, but you are always kind and understanding. I am grateful to have been taught by such an admirable person.

 

 

I challenge anybody in the whole world to find a better teacher than you. You’ve set a great example for all of us to follow, you’ve inspired us to be better people and to always strive to do our personal best. Thank you for being such an amazing teacher!

By Mariem B H

Dec 1, 2022

I would like to thanks Stanford University for making such excellent course free. I hope I can purchase the certificate later. I can not afford it now.

I would recommend this course to anyone who has some elementary notions on statistics and used to hate statistics like me. Sometimes, you need to go to the internet to understand more some notions. For me, for example, I searched some examples on bootstrap on the net to get it out.

Thanks again Teacher, you are excellent!

By Susana P

Mar 19, 2023

I found enormous value in this course. It took me much longer than the estimated 14 hours to complete the course, and I re-watched videos many times, as well as consulted outside sources to make sure I understood the concepts. In the end I feel I have a solid grasp in Intro to Statistics and I'm ready to keep learning. Don't be put off by the instructor's academic style, the content is great and the quizzes are very useful to practice what he shows during the lectures.