Mar 01, 2017
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!
Aug 24, 2017
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!!!
교육 기관: Mrinalini S•
Nov 19, 2018
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.
교육 기관: Zohaib S•
Apr 28, 2018
Very comprehensive and informative. Must for someone who wants to learn all the statistics required to start his/her career in data science.
교육 기관: Charlotte C•
Oct 20, 2019
This is the second in the series with professor Çetinkaya-Rundel. She explains everything very well and makes the subject fascinating.
교육 기관: priyesh s•
Feb 25, 2019
This course is super and explained so well by the professor. I would recommend this course to anyone who has interest in data science
교육 기관: 李俊宏•
Sep 21, 2017
very good course, I have learned a lot of ideas about inference, the project for every week helps students to learn R quickly!
교육 기관: Jalal A•
Mar 08, 2018
If you want to learn inferential statistics and get a clear understanding of the mechanics inside it, dive right into course.
교육 기관: fanjieqi•
Nov 28, 2017
So appreciate to the teacher. And I'd like to use the method I learn from class, to solve my individual study of statistics.
교육 기관: Saiful S M S•
Jan 11, 2017
Clear & concise; maybe could expand or give alternative R packages to practice on that can be used in inferential statistics
교육 기관: Shaghayegh S•
Aug 15, 2016
I am eventually understanding statistical concepts, and realizing delicate differences between similar concepts and methods.
교육 기관: Guillermo U O G•
Sep 04, 2018
I really enjoyed this course, also, I would like to highlight the recommended reading material: it was a good book.
교육 기관: Amruta G•
May 23, 2019
It's a great course! Helped me identify and clarify lots of concepts which I had understood just halfway in class.
교육 기관: Eduardo B D S•
Feb 07, 2020
Great course. I think questions could be harder, but overall I learned a lot, especially with the final project.
교육 기관: Galin D•
Mar 18, 2019
Very relevant to modern day needs of a data scientist/statistician. Easy to understand as a relative beginner.
교육 기관: Mit P•
Jul 08, 2019
Great learning experience. Very well crafted course. Thank you Dr. Rundel and the entire team of instructors!
교육 기관: Vijay P S•
Sep 02, 2017
This course is well taught with great examples, I personally learned how to infer the things out of the data.
교육 기관: Abdulmohsen A•
Oct 27, 2016
Excellent course. Highly recommended if you would like to learn inferential stat and the intuition behind it.
교육 기관: David B J•
Jun 21, 2019
Very nice job of explaining the material. I love the diverse set of examples used in the lectures and labs.
교육 기관: luis m•
Aug 14, 2018
Well structured and excellent course. Has many examples and provides detailed explanations. Very well done!
교육 기관: Toan T L•
Nov 30, 2018
Yet another superb course in this specialization.
Be ready to spend lots of time and learn lots of things.
교육 기관: Luis F S S•
Dec 01, 2018
It was a great course, one of the best things was the R programming for statistical test and inference.
교육 기관: David O P•
Mar 30, 2017
Mine is the greatest statistics teacher I have found so far
I would love to follow more courses from her
교육 기관: Nikhil S•
Oct 28, 2016
Despite not having a stat background it was very easy for me to understand the concepts in the course.
교육 기관: Holger H•
Oct 17, 2017
Great course at just the right level of depth and difficulty. Great with so many hands-on labs in R.
교육 기관: James C•
Jan 11, 2018
Great course. I have studied statistics before, but this time it was much clearer and well applied
교육 기관: Sonal S•
Sep 19, 2017
Its amazing! Clearly makes you understand the concepts and makes you understand how to apply them.