Mar 02, 2017
Excellent course. The lecturer has written code snippets that let the students visualize the meaning and interrelationship of p-values confidence-intervals power effect-size bayesian-inference.
Feb 22, 2018
Excellent course with a lot to learn. After 10 years in data analysis it provided me with great new insights and material to further improve my skills and understanding of data analysis
By Gregory D
•Mar 27, 2018
Excellent course. Must take for any students interested in doing scientific research, especially in the domain of the social sciences. Very interesting and informative.
By Maria A T
•Jun 16, 2017
Excellent course.
By Răzvan J
•May 30, 2017
This was a very usefull learning experience. It helped me to understand better at a conceptual level many statistical methods that are not taught very throughtly in formal education (e.g., Bayesian inference, equivalence testing etc). However, the biggest gains come from the many practical exercises at the end of each module. As a suggestion, in Week 8 I think there should be an additional recapitulation/practice quiz that should consist in more practical exercises (e.g., calculating likelihoods or posterior probabilities, effect sizes etc). Now week 8 (the practice quiz and the final exam) tests the content almost exclusively at a conceptual level.
By EDILSON S S O J
•Apr 09, 2018
Nice!
By Jakob W
•Jan 05, 2018
Hi! Thanks a ton for a spectacular course. I pick up new understanding every week here, and I actually look forward to going through the material each week. So great job!
By Hollin V
•Sep 20, 2017
Concepts are explained in an easy-to-understand way with a good use of analogies. Homework assignments are straightforward and useful. I like the way he teaches using simulations. He encourages students to play around with his simulations to discover how changes in the simulations' inputs affect the results.
By Md. M I C
•Jan 03, 2017
It is good indeed. Such course is needed more on Coursera.
By Amy M
•Nov 03, 2016
Great lectures and really helpful simulations. Very engaging and interesting. Full of useful resources.
By sad d
•Jan 18, 2017
One of the best Coursera courses! Daniel Lakens for the win!
By Iván Z A
•Feb 15, 2017
Wonderful course: very interesting, and very well explained. Also, the teacher is a very kind and helpful person (at least in Twitter ;-P). Thanks Daniël.
By Srinivas K R
•Oct 09, 2017
A course taught by a single individual - that packs more learning and knowledge into it than many rote courses. A course that I have returned to and will return to many times in the future to brush up on fundamentals.
By Habiba A
•Dec 29, 2016
Easy to follow, light workload, and most importantly: very useful material of supreme importance.
By Kim S
•Jun 13, 2017
An excellent course that provides a good introduction into the various statistical methods. I have definitely learned a lot of very useful information that I know I will use a lot in the future. I would really like to see a follow-on course on Bayesian Statistics now that I have got a taste for it!
By Jessi S
•Dec 27, 2017
This has been one of the BEST courses I have taken (including other online course and my university courses). The course has definitely increased my understanding of making statistical inferences and has also provided me with hand tools and exercise. The professor used a variety of tactics to engage learning (reading, assignments, video, websites, quizzes) and all of these helped me to learn. It was a very engaging course with very useful information. THANK YOU!
By Joe B
•Nov 11, 2016
This course was great. I have worked with statistics for a while but always grappled with some concepts. Having completed this course, I feel much more confident in interpreting findings and designing studies. This is especially the case for Bayesian statistics and likelihoods that were not even part of the curriculum when I went to university.
By Mathew L
•Jun 04, 2017
One of the best courses I've ever done. Fundamentally practical. I learned a great deal and challenged a lot of my implicit assumptions.
By Tory M
•Mar 08, 2017
This course was very helpful indeed. My insight into these areas of statistics is now better than it was before, and it wasn't even a terribly painful experience! It was refreshing to have statistical concepts explained so clearly and - dare I say - sensibly. I have already recommended this course to several colleagues and will keep doing so. Thank you very much for putting together such a high-quality course!
By Yashar Z
•Oct 17, 2016
Really nice course! begins from basics but gives you a deeper understanding of concepts. Plus the quizzes are open for auditing (as one expects from an open science advocate)!
By Zahra A
•Apr 29, 2017
Extremely useful course!
By Sanjeev P
•Nov 13, 2016
Fantastic, enjoyable, entertaining with a dash of humor. Highly recommended for non-statisticians interested in improving their grasp of the field.
By Tim B
•Jan 05, 2017
This was a really well presented course, giving a fantastic overview of inferential statistics and always presented with a sense of humour! A number of really useful tools where introduced which I will be using again and again.
By Anisha Z
•Jan 07, 2018
Probably the most useful course I have ever taken. I think this is essential for anyone who does science. It provides a clear understanding of inferential statistics while discussing common pitfalls and myths surrounding p-values and confidence intervals. Assignments were very useful. Highly recommended!
By Eva D P
•Jan 23, 2017
Probably the best stats course I've ever taken (and also the most fun and enlightening)!
By Jaroslav G
•Feb 05, 2018
I found this course very well-structured and easily accessible and understandable even to students, while being highly profound and covering most important and and recent pressing topics in methodology and statistics.
By Aviv E
•Jul 17, 2017
Great course, lots of new tools and materials that really helped me in my study.