Very useful for anyone interested in basic concepts of statistics and statistical inference. It prepares one to enrol for more advanced courses like Machine Learning.

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.

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

I found that some of the content was confusing.

I'm relatively disappointed by this course since it presents a lot of information but is missing exercises to better understand the concepts and the pitfalls of data analysis. There is almost no math explanation behind the concepts. After having finished the course, I have the impression to have barely scratched the surface of statistics and I am missing a trustful understanding.

The instructor speaks monotonously and just goes through slides cursorily, so the teaching is poor. In addition, he covers each topic superficially. He even does not cover some materials needed to solve questions in quizzes. This course is not introductory either. In week 2, he jumps over the Bayesian analysis, which I believe is not an introductory topic.

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!

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!

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

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

Very good introduction to statistical concepts that help you build on your intuition.

Very good introduction to Statistics!

This is not a regular introductional course! It is a refresh since it does not really explain many concepts and the ones it does, are very, very succinct. My goal was to refresh and get other kind of explanations for stats concepts, so, considering that goal, it was a great course, the explanations are concise and simple (most of the time). But if you're new to stats and want to really learn and understand the concepts in depth, this course may not be ideal as you'll probably need complementary material.

The course touches upon the major basic concepts of statistics, but it woud be a bit difficult for people who do not have much mathematical background. The explanations are highly mathematically conceptional, using a lot of mathematical symbols and equations, instead of just giving simple examples that everybody can easily understand. Nevertheless, the course is highly efficient for people who are seeking to get to know as many basic concepts as they can in a short period of time.

I walked into this course with basic knowledge of statistics. Relearning this course, I can see that the concepts taught to me before were present and well taught. However, I think the course is too fast-paced and sometimes, the professor fails to properly go in-depth about the formula and how to answer the said question. It seemed like he was on a time budget to teach us statistics. I do believe that this course IS sufficient but I feel as the course is too rushed.

Incredibly dry, rushed, and not at all introductory lectures. Weeks 1-4 were relatively easy to follow along with, coupled with some Googling of more difficult concepts, but from Week 5 on there is a huge spike in difficulty. After struggling along, I gave up midway through Week 6. The lectures rely heavily on advanced formulas using esoteric notation that is almost never explained. Core concepts are also introduced quickly with a generic definition, and then are never really explained again. For a beginner, this is incredibly frustrating as I found myself having to go back to previous lectures just to understand a 15-second example of a concept that relies on 4-5 previous concepts. Finally, sometimes there is a reason given why a certain calculation is being done, but not always, which leads to more confusion. As many others have noted, this is more of an intermediate/refresher course for people already familiar with statistical concepts, but beginners should steer clear.

This course is not an introductory course! It is more like a summary of statistics from beginner to advanced. The course instructor rushes through important concepts with minimum explanation and there are no exercises or practice questions. I do not recommend this course for those who want to learn statistics from the beginning.

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.

Badly explained, badly written, not enough (or really any) practice on the concepts, etc. This appears to be a beginner class for one week and then rushes through Bayesian statistics in 10 minutes. Extremely poor class. Not recommended.

The course is an excellent introduction to statistics. It focuses in understanding the basic concepts of statistics and less on the actual tools to be used (which is actually a good thing). Additionally the professor is very experienced and gives also information about possible fallacies and how to avoid when interpreting statistic results.

Many thanks for providing this excellent course for free. Much appreciated.

Overall, I think this Intro to Statistics class provided a great amount of content to understand the Fundamentals. The amount of content and quizzes is fair and reasonable. It's not overwhelming. My only advice is to potentially provide more examples of how Statistics is applied in research and in corporations in various roles Ex: from the point of view of a data scientist.

Excellent review that worked for me. The course had a good mix between the theory and practical application of the math. I would highly recommend for those who many years ago has probably and statistical and wants to refresh their knowledge. ML is more powerful when you understand the math behind the technology.

I really enjoyed the clear explanations and the well-structured step-by-step program. However, I found the 6th module challenging to understand. This is partly because English is not my first language and also because I am not familiar with the concepts covered in that module

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.

The course was well-paced. I was able to easily follow along with the instructor. I recommend taking notes in a notebook or tablet while watching the video. This helped me retain the course material and have a place to refer back to quickly.