I really appreciate the course and let me accumulate a lot of knowledge about statistics. And I have developed a good impression of the University of Michigan teaching level.

If you are interested in statistics and statistical analysis, this course gets you grounded in the essential aspects of statistics. Excellent instructors.

A very in-depth learning material for inferential statistics. Very good explanation of p-value which clarifies some of the prevailing misunderstandings.

Great course with practical experience with Python. There are many courses that teach statistics with R but this is the first one to do so in Python.

Do you want to have an in-depth understanding of statistics in data science? Take the full specialization and you won't regret it. Fantastic course

this is absolutely a great course. i happy learning this one. the subjects they explained was crystal clear and i would suggest this to my mates.

Great in-depth content of further statistics, applied using Python Jupyter Notebooks. Python Code was comprehensive and enabled easy following.

This course is significantly better than the previous one. Nevertheless, if you want to get knowledge about Python, it’s not about this course.

I think I have gained a sense of how scientific research is conducted.

There is still a lot to be digested. The exercises are very helpful.

It was very good course, everything was very well explained and the activities were challenging enough to practice the knowledges obtain.

This course solidified my statistics theory knowledge and helped improve my Python coding skills regarding statistical inferences!

Excellent course that answered on my questions on how and why to use confidence intervals and hypothesis tests in the real world.

Great course! I learnt so much, this is really helpful to make more sense out of the thousands of stats that we see everyday!

Harder than the first of the three courses in the Specialization and that makes it all the better. Really very well done!

Great course, but I would like to learn more about specific scipy.stats methods, which are not covered good enough here

Intermediate course to help with Inferential Statistical Analysis, they do a great job of giving examples and detail.

Great course with practical assignments and examples. Learned alot and refreshed stuff I should know well.

Good Python tutorials that gives a good paratactical introduction to the theoretical core of the course.

Best course with in depth coverage of topics related to Hypothesis testing and inferential statistics.

This is the first certificate I got in Coursera. I like this course, especially then notebook part

It's just an exceptional course, 101 out of 100 would recommend, Learned a lot from it. Thank You

A very good course that provides an understanding of the methods and methods of studying data

Good, but be there are outdated assessment lab that aren't in sync with the graded assessment

Great course for people who loves statistics and wants to apply these concepts in Python.

One of the best courses on statistics and python on Coursera. Do take it before it's gone!