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.

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.

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.

This course provides a solid foundation in statistical inference, hypothesis testing, and multiple testing corrections. The explanations are clear, and the examples are well-structured, making it easier to grasp key concepts like p-values, ANOVA, chi-square tests, and methods for controlling false discoveries. The inclusion of real-world scenarios, such as medical studies and online advertising experiments, enhances practical understanding. The quizzes and assignments reinforce learning effectively, though some questions can be tricky. The course also covers important statistical concerns like data snooping, replicability, and reproducibility, which are crucial for researchers and data analysts. One potential improvement could be a more detailed explanation of advanced multiple testing techniques and additional hands-on exercises. Overall, it's a great course for students and professionals looking to strengthen their statistical analysis skills.

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.

This introductory statistics course was very comprehensive, and I was able to address the weaknesses I had in statistics and probability thanks to the instructor, who explained the topics in a very clear and straightforward manner, making them easy to understand.

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.

I would say, Professor Guenther Walther is one of the most lucid statisticians, which is a rare feature in statistics mentors. He explains all the complex concepts in a very simple manner making them less daunting for a biologist like me.

The course was incredibly informative. I am glad that I got the opportunity to study in a course on statistics from Stanford University itself. I thank the creators and participants of the course!

A very good course. Definitely a course to take for an introduction into Statistics. Also probably going to be very useful as I'm planning on taking Machine Learning.

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

This course is very helpful for me as I have to start learning machine learning. This course provide me a platform to learn basic statistical analysis.

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.

very nice course, my suggestion is that you might want to review certain parts, my favorite section was one way ANOVA, Module 11, thank you.

Excellent course, with ideal programmatic content for those who want to move forward in machine learning or even advanced statistics.

Great course if you want to learn the basics of statistics, highly approve for someone who does not have a mathematical background.