MN
2017年2月28日
Great course. If you put in a little effort, you will come out with a lot of new knowledge. I recommend using the book after you have seen the movies. It gives a deeper picture of how it works. Great!
ZC
2017年8月23日
This course by Professor Çetinkaya-Rundel is awesome because it is taught in a very clear and vivid way. Lab section and forum are so dope that I love them so much! Definitely strong recommendation!!!
by Christopher T
•2017年2月21日
Overall great course. The videos were extremely helpful in learning the material. The labs and project were well put together to help learn R.
by Pamela W
•2016年12月15日
This course really helped set up a foundation in inference that I feel like I've missed in other classes I've taken. This was great! Thanks!
by Mrinalini S
•2018年11月19日
This is a very well structured and taught course. It is difficult so make sure to dedicate lots of time for videos, practice, and revisions.
by Zohaib S
•2018年4月28日
Very comprehensive and informative. Must for someone who wants to learn all the statistics required to start his/her career in data science.
by Charlotte C
•2019年10月20日
This is the second in the series with professor Çetinkaya-Rundel. She explains everything very well and makes the subject fascinating.
by priyesh s
•2019年2月25日
This course is super and explained so well by the professor. I would recommend this course to anyone who has interest in data science
by 李俊宏
•2017年9月21日
very good course, I have learned a lot of ideas about inference, the project for every week helps students to learn R quickly!
by Jalal A
•2018年3月8日
If you want to learn inferential statistics and get a clear understanding of the mechanics inside it, dive right into course.
by fanjieqi
•2017年11月27日
So appreciate to the teacher. And I'd like to use the method I learn from class, to solve my individual study of statistics.
by Saiful S M S
•2017年1月10日
Clear & concise; maybe could expand or give alternative R packages to practice on that can be used in inferential statistics
by shaghaiegh s
•2016年8月14日
I am eventually understanding statistical concepts, and realizing delicate differences between similar concepts and methods.
by JUAN S P P
•2021年7月5日
I've learned a lot in this course, the videos and examples from the book are interesting to wide my knowledge in inference.
by BULUAG, M K (
•2020年7月16日
This site have a big advantages to us especially during these days we have difficulty in learning despite of having covid.
by Heloísa D F
•2021年1月25日
This course is great. I recommend it specially for those who have a hard time understanding the central limit theorem.
by Guillermo U O G
•2018年9月3日
I really enjoyed this course, also, I would like to highlight the recommended reading material: it was a good book.
by Amruta G
•2019年5月22日
It's a great course! Helped me identify and clarify lots of concepts which I had understood just halfway in class.
by Eduardo
•2020年2月7日
Great course. I think questions could be harder, but overall I learned a lot, especially with the final project.
by Joseph A
•2021年1月10日
I learned a lot through this course. I learned more by doing the week 5 project. Very useful methods and tools.
by Galin D
•2019年3月18日
Very relevant to modern day needs of a data scientist/statistician. Easy to understand as a relative beginner.
by Samyak N
•2020年7月16日
The course is well organized and everything is explained really well. Moreover, the instructor is really nice
by Mit P
•2019年7月8日
Great learning experience. Very well crafted course. Thank you Dr. Rundel and the entire team of instructors!
by Vijay P S
•2017年9月2日
This course is well taught with great examples, I personally learned how to infer the things out of the data.
by Abdulmohsen A
•2016年10月27日
Excellent course. Highly recommended if you would like to learn inferential stat and the intuition behind it.
by prakriti p
•2020年5月25日
Tough subject. The quizzes and labs especially the peer assignment helps bring the entire picture together.
by David B J
•2019年6月21日
Very nice job of explaining the material. I love the diverse set of examples used in the lectures and labs.