This course covers a wide range of powerful statistical concepts. The best way to work through this is to run R code as you go through the examples. If you are not comfortable with R, make sure to take the intro to R course first.

Loved it. Some courses have an automated voice. But I was lucky enough to get an iteration with a human. I always wondered the reasoning behind some statistical analysis and this shows you the basics to understand those concepts.

Dr Brian DeCaffo is a talented and forward thinking educator. The amount of supplementary material he brings to the course is a bountiful bonus that really helped me grasp concepts. One of the best courses I've taken on Coursera.

Such a good course! it is a very dense one, but Brian is a really great teacher and knows who to explain wonderfully. Furthermore, there are many examples and online activities which help you to understand better the concepts!

It is really informative especially for those who are not into statistics. Maybe you can also explain MSE, estimators other than t and z, and also insert some information why we use the corrected sample variance (n/(n-1))s^2.

The course provided a great overview of the base statistical knowledge required for advanced data analytics. I had gained great experience and exposure to sophisticated hypothesis making and data wrangling skills. Thank you.

The course was at times difficult, I found that extra research was needed to fully understand what was going on. The extra questions related to the homework questions are a great way to test your understanding of the class.

One of the better courses so far in the Data Science Specialization. If you have no background in statistics, expect to spend a lot of extra time in this course, especially weeks 3 and 4. Tough, but lots of good material.

Excellent course if you have some background in math or stats already. This course might be difficult if you don't have that background. The peer graded assignment does a good job tying everything together in my opinion.

This was challenging and informative. I think the time estimates are way off though. Some things estimated at 2 hours really took 10, and things that are estimated to take hours are one paragraph to read and then over.

Rigorous but worth... though it skims the SI topic, at least introduces to the vast dimensions of the subject. It takes time, but one learns. Follow the exercises in the book in addition to swirling. It helps a lot.

Not only did this course help me to understand concepts that I have encountered in my job over the length of my career, but it also introduced me to using R Markdown, which will come in handy for future projects.

really great course! takes a few minutes to get used to Brian after having all courses taught by Roger. I finally understand hypothesis testing and confidence intervals after taking several classes on this topic.

This is one of the most important course in data science specialization series, everyone should take this course very attentive way, because it give very deep insight about the role of statistics in data science.

the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!

Everything absolutely amazing. Sometimes there were some troubles with audio files, but I think it doesn't affect on the course. Because I have no trouble with understanding. Thank you to al masters!

É um curso excelente que me fez rever muito conceitos esquecidos ou que simplesmente passaram batido durante a minha formação. É um abordagem prática que traz o que é mais relevante no assunto.

Well balanced course with a lot of practical examples which help to understand the theory. I apply statistical inference methods myself, and nevertheless I've found new topics here. Thank you!

Very good course for the beginners who want to learn about statistical inference, R programming. A good explanation with the helpful R exercises makes us understand the concepts very easily.

Brian is a very good lecturer. Even though he is knowledgeable, he goes through everything step by step and makes sure you don't fall off the wagon at any point. I had fun doing this course!

After many years had passed since my last encounter with statistics this course proved to be quite some work to complete. Nevertheless, still a great course and definitely worth your while.

In my opinion, this course is fundamental to Statistics and therefore Machine Learning. It is well explained, although it requires students to work on more mathematical aspect in parallel.

it was a very challenging course, but entertaining too. The course has a very good complement with additional material that helps to better understand the contents of each of the subjects

Professor Brian has very explicitly introduced the basic ideas of statistics! I have learned a lot of fundamental ideas which make me more confident in doing statistics. I really like it!

Very good and informative. I'd had statistics back at the university but I never understood the underlying principle of hypothesis testing. Mr. Caffo makes it look pretty clear and easy.