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 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 Marcin K•
Dec 22, 2016
Great course. Daniel explains everything clearly and with examples in R code which makes all of the concepts easier to understand. A must-take for experimental psychologists.
By Carlos L F•
Jul 18, 2017
It's a really interesing course about statistical inferences. You can learn a lot about how to recollect data, how to analyse it and how to interpret it. It is very recommendable for all kind of researchers.
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 Aviv E•
Jul 17, 2017
Great course, lots of new tools and materials that really helped me in my study.
By LIU Y•
Mar 22, 2017
Very good!!! I like this course and the hair style of the professor. ^_^
By Mario R•
Apr 10, 2017
Great course! Everybody doing human/social science should do 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 Farhan N•
May 21, 2018
I found out about this course as i stumbled across Professor Daniel's blog one day and i feel very lucky that i did. Chances are, like me, you are making some very common mistakes in using and interpreting statistics which is why this course is a MUST for anyone in a discipline that uses statistics and i wholeheartedly recommend it to anyone who has taken a few introductory courses on the subject, regardless of their level of expertise.
The instructor goes through very real and practical topics in the use of statistics and weaves it with adequate theory, examples through simulations, exercises and plenty of additional sources. Common mistakes are highlighted and very useful solutions/tips are provided. The level of difficulty is very accessible and there is not much mathematics beyond algebra and basic probability, although you can go more in depth into technical supplementary readings, should you choose to do so. The instructor also replied to queries and helped out where he could. There is also a really good corresponding (although independent) facebook group on methodology that is very informative and from which i learn new things everyday.
This course is one of the main reasons i am now learning more mathematics so i can properly use statistics in my field of study (Psychology) and i would like to thank professor Daniel for making such a wonderful, eye opening resource for everyone who uses statistics.
Enroll as soon as you can!
By Jana H•
Mar 04, 2017
Wonderful course! It was really well-conceived and I learned a lot. Would definitely recommend it to everyone interested in statistics!
By Sebastian U•
Mar 26, 2018
The course gave me useful insight into interpreting and handling statistical parameters. Information and methods were well balanced. Thank you.
By Bob H•
Oct 06, 2017
This is a top-notch course. The ground (especially pitfalls) is very well covered, and useful free tools are engaged (R, G*Power, prof's own spreadsheets for calculating effect size).
By Emmanuel D•
Apr 10, 2018
A real pleasure to take this course ! The videos are extremely pleasant to watch and give away a lot of knowledge, without ever having this feeling of getting lost ! The assignments are fair and extremely useful as well as the exams ! Will definitely recommend (and actually already have ! =P)
By Martine K•
Jun 21, 2018
Really great course! Was already familiar in statistics, but learned a lot about making inferences based on statistical tests. Lectures and assignments are very clear. Would recommend it to everyone interested in statistics.
By Tyson W B•
Feb 23, 2018
An excellent course! I've taught undergraduate statistics in psychology and consider myself reasonably well-versed in statistics and this was a very helpful expansion.
The course focuses on concepts rather than equations and R programming. Equations are presented, but the focus is on the concept underlying the equation. This course uses R as the analysis software and I had no prior experience with R, but that was not a problem as the instructions are detailed enough to follow along while focusing attention on the statistical concepts.
By Anna S K•
Mar 22, 2018
Great course with practical examples and exercises! Clearly explains typical statistical misunderstandings and provides tips for a responsible and honest scientific practice. I really enjoyed it and already recommended it to all of my colleagues.
By Xiwen O•
Dec 26, 2017
Very great work to help people to listen this great courses!
By Pablo B•
Sep 22, 2017
Enjoyable, useful, necessary.
By Alexander P•
Jul 23, 2017
By Katia D•
Feb 11, 2018
Great course! Although I was struggling with lecture 2 (Bayesian Statistics)––It was very mathsy and a bit difficult to follow.
By Kathryn S•
Dec 10, 2017
I absolutely loved Prof Lakens' clarity! The effort he put into making the material and the assignments easy to understand is astounding.