Вернуться к Introduction to Statistics

4.5
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Оценки: 1,089
Рецензии: 227

## О курсе

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....

## Лучшие рецензии

JS

28 дек. 2021 г.

I think sometimes the professor can provide some details about the quiz and more questions in this quiz in order to help us have more deeper understanding of the stats.

RT

2 июня 2022 г.

The course content presenter is very experienced and he presented the material in very intutive way. Thank you very much Sir for sharing your knowledge and experience.

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## 1–25 из 245 отзывов о курсе Introduction to Statistics

автор: Margaret A

9 мая 2021 г.

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.

автор: Hassen P

16 апр. 2019 г.

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.

автор: Ching-hsiu L

7 июня 2021 г.

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.

автор: Praneeth k P

30 июня 2021 г.

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

автор: Grant B

30 авг. 2019 г.

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.

автор: Jordan B

15 окт. 2021 г.

The lecturer is extremely dry and the course materials contain many gaps. Concepts are discussed without having been properly introduced.

автор: James F

6 дек. 2021 г.

I'm disappointed that this course is listed as an introduction, when the professor does not treat it as such. He glosses over important information and does not care to explain in any detail. I had to search for Conditional Probablility on youtube just to grasp the concept. The professor didn't care to explain the one example he gave us in any detail. I'll come back to this course after I've taken a real introduction to statistics. This is NOT for beginners.

автор: Gisele

27 нояб. 2021 г.

I like the content and how the course was divided but spent most of the time looking for clearer explanation on youtube. Explanations are very vague. I wished they had more details and showed how to 'compute' instead of just showing the result. I would also advise on more quizzes and examples. In my case, It was very discouraging to look elsewhere for a fully paid course. I'd not recomend this course for a beginner with no notion of probability.

автор: Ashish J E

13 янв. 2021 г.

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.

автор: mezzanatto R

28 сент. 2021 г.

It was not an easy course for me due to my background, but the content is really well explained. I now want to learn more about the statistics.

автор: Neha N M

29 мая 2021 г.

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

автор: David

27 окт. 2021 г.

V​ery confusing. I'm used to seeing derivations and logical sequences of how concepts progress from one to another. This is an incredibly frustrating course with large gaps which can only be filled in if you've studied this before, in which case you wouldn't need to do this one. How is the correlation coefficient related to the linear regression formulae? Where's the algebra? Why can you use x to predict y, but not use y to predict x? Has it got something to do with covariance, whic I just read up on?? Who knows.

I know this is a condensed version of the subject, but sometimes going into more depth can help explain things so that you understand them and in turn make the subject easier.

автор: Alejandro E

17 июля 2021 г.

INSUFFICIENT LECTURES

автор: Patricia R

7 мая 2021 г.

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!

автор: Sao-Mai T

2 окт. 2021 г.

The course is very informative and easy to understand. Each topic was explained clearly with examples. Hope that there will be an advanced course

автор: Peter L

24 авг. 2021 г.

Solid exposure to introductory content. Prof Walther speaks clearly and the examples help in practicing!

автор: Derrick L H P

12 июня 2021 г.

автор: Pratap C

24 дек. 2020 г.

Very good introduction to Statistics!

автор: Joye B

28 июня 2021 г.

I found that some of the content was confusing.

автор: Shu

8 сент. 2021 г.

It is a great course to learn the key foundamental concepts about statistics theories. I did not grasp the whole concepts at once, but by repeating the video and reading the materials I was able to understand the key concepts. Good starter for data science field study.

автор: Shamsur R S

16 янв. 2022 г.

It was quite the experience, brilliant teaching with wonderful presentation of lessons. The professor was really great. The assignments were also astonishing.

автор: MOHD K

13 сент. 2021 г.

very good course to take , because this course was explained in detailed and also by doing the quiz of this course helpful to learn perfectly.

автор: Pankaj S

6 сент. 2021 г.

Excellent course... Only improvement I can suggest is to add more problems in the lectures as well as quizzes.

автор: Dixon A

27 июня 2021 г.

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

автор: Anton L

4 янв. 2022 г.

Excellent teacher. Course would benefit from some more examples.