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Good material, very very dry instructor.

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.

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.

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.

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.

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.

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

Pretty quick overview. I recommend doing AP Stats on khan academy to get a better inderstanding.

I recently tutored a student in an introduction to statistics course by reading the textbook and learning as he learned. While I gained a basis understanding of statistics, I found that the textbook (Statistics, Unlocking the Power of Data) somewhat confusing and I wanted to take another statistics course to try and clarify basic concepts that I felt were not explained well in that course, so I took this course. I found this course to be so formula - intense that the basic concepts were lost in the discussion of the formulae and many were not clearly explained. Another drawback was that the graphs in the videos were blurry and one could only read the designations on the x and y axes by referring to the slides separately, which was distracting. I kept moving through the course, determined to finish it and evaluate the concepts that were being discussed, but it was very disorienting to follow the formulae and try to glean their import as related to the concept being discussed. I passed the quizzes by keeping a list of the correct answers for each attempt (many of which I chose at random) and finally passing by the process of elimination. If I had not had previous knowledge of statistics, this course would have not been helpful. Even so, it did not significantly increase my knowledge of statistics.

It took me two lessons to figure out this course is not for me. To give you a bit of context, I'm the type of person who needs to understand a concept from the inside – to such a depth that I'd be able to explain it to anyone, no matter their age or academic ability, in plain English. True, the lectures do give you all the definitions you need and show how you can apply a certain concept in practice, but I failed to understand the why of things. And to me, that's a deal-breaker. In the beginning, I thought the problem was with me, that is I was too thick to get it, so I started YouTubing and googling stuff to try to keep up. In the end, I found myself spending more time on Google than on this course, so I decided to cut the middle man and subscribe to a couple of YouTube channels. This course isn't for me.

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.

The course is too rushed, there is not enough of everything: exercises, examples, tests. Better use another resources than this course. if you are somewhat familiar with the statistics, this course will not add to your knowledge, but if you're not, you'll be probably overwhelmed by formulas and a lack of explanation why and when to use them and where are they coming from. Do not recommend.

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.

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.

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.

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.

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

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

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

The concepts are not very clearly explained.

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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.

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.

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!!