Learner Reviews & Feedback for Introduction to Statistics by Stanford University

It's an Introduction to Statistics and it means it should help those who are new to statistics. But it's way far from that.

The instructor explains topics very very very very and again very summarized. While he drops mind boggling formulas on to the screen, he explains you the 1/100 of the tip of the ice berg.

You just cannot use this course for an introduction to statistics. You need a lot of books and a lot of time to get the quizzes right.

This course covers the most popular statistical ideas (it closely follows the O'Reilly book "Practical Statistics for Data Scientists"), so the material is relevant. Unfortunately, the course is not designed well for comprehension. The instructor glosses over things very quickly, and fails to define crucial terms and concepts. For instance, he never once says "this is the formula for deriving the standard deviation," instead he only ever says "now we will standardize" and you need to know what he means. When calculating probability in the early lessons, he does not pause to help you learn how to assign A and B, nor does he stop to say which values he has assigned to A and which to B. As of May 2020, halfway into what I believe is the first iteration of the course, the Forums were not turned on so we cannot seek help from our classmates, even though about 3,000 are currently enrolled. I'm five weeks in and completely undecided about whether to continue or not; I am not learning statistics; for the most part I am just retaking the tests over and over again until I pass. Please at a minimum turn on the forums for students. But also consider re-recording the Probability section to include more instruction about how to assign variables to A and B, and to more clearly specify what the teacher considers to be A and B in the course examples. IAlso, if the profession consistently uses the phrase "standardize" to mean "calculate the standard deviation" please say that somewhere. n addition, the Week 3 Quiz includes a question not covered until the Week 4 material.

Enjoyed the course but had repeating problems with the Coursera platform not submitting quizzes for weeks. Coursera provided no support and no communication (zero). Had to contact Stanford administration to get any action on the problem. Still Coursera did not communicate and were slow to respond to the school administration. Finally fixed two days before course deadline.

Critical bugs in the Coursera platform. Absolutely no response from Coursera to flagged bug reports. Absolutely no Coursera support. Cannot recommend.

I've completed 10 modules. However I decide to stop learning statistics here although I've passed the 10 modules with high scores.

I think the learning materials of this course are valuable and the instructor, professor Guenther Walther is excellent. However, for global students, this course is awful, comparing with the other beginner level courses in Coursera, A lot of concepts in the videos are not introduced clearly, for example, what is median? How to find the median? How to distinguish dependent variables from independent variables? What is a sample? What is a category? What is replacement for a draw? When should be replacement? I think the instructor assumed every student here is a Stanford student or an American student.

To be honest, this course is not supportive to students because it doesn't open the discussion forum for students to discuss the problems coming from the materials and correct the incorrect calculation in the instruction. In addition, there is not any handout to help students to summarize what are taught in the module or give more examples. Only quizzes, but no exercises. These makes the learning here generate a lot of difficulties and failures despite there are explanations following the quizzes.

In spite of that, I will miss the voice of professor Guenther Walther. The voice sounds sincere and friendly.

I will come back when I think I can continue to learn here. Hope this course will be improved in the future.

Excellent content - explains complex concepts in simple words. Though i had prior knowledge of statistics and i undertook this course as part of the Foundation in Data science course, i found this excellent content.

The course is great for those who want to brush up on the foundational statistical concepts for advanced learning. If Prof. Walther offers more educational content that's relevant to me, I'd gladly take it!

very good basic statistics score, explained in detail and all the basics cleared, everyone should go for it

No proper explanation of concepts, no in detail examples, no proper set of quizes,content is lagging

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.

Good material, very very dry instructor.

I have completed almost half a course and I want to thank Mr. Guenther Walther for making statistics understanding so easy and fascinating. Very useful course for people who wants to make their carrier in data analytics because I think statistics is the core foundation for any data analysis. Once again thanks to Mr. Guenther Walther, Stanford University and Coursera for compiling the course.

Really great. I have no background in statistic and probability, rather than high school education 15 years ago and this course was clear, well explained and easy to understand. The chosen example were great as the teacher.

I​ really good introduction course. The weekly lecture and quiz time commitment is very manageable. The lectures/quizzes focus more on the theory rather than the number crunching.

This course will surely help kick start my career in data science. I have learned alot.

V​ery good introduction to statistical concepts that help you build on your intuition.

Excenllent way to learn Introductory Statistics in a slim down lectures.

This course made my concepts clear . I am very thankful for this course.

Lots of material, personable professor, good course.

Very well structured and non-trivial quizes!

Good intro to the principles of statistics

Very useful overview with good insight

Very good introduction to Statistics!

It's so great to enjoy this course

Good basic course with good pace.

this was an amazing introduction