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!

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)

I've been involved in research for years, and wish this course had existed earlier in my career. I have learned more about statistics through this course than I did in the decade I spent on the bench in research science. This course should be required for anyone working in science.

Excellent course, I highly recommend this to anyone working in research. Content is comprehensive and paced well, with modes of learning well implemented across lectures, practical work, testing, wider reading and content for extension learning. I really enjoyed this.

An intermediate course, which will grant new knowledge to everyone who is interested in making better inferences. It also needs a great deal of studying from external sources for all those who encounter these topics i.e. Type I error inflation, for the first time!

Taking this course was the best decision of the start of my grad school. It has massively improved my ability to interpret other papers and plan my own experiments, as well as changing how I view psychology/science in general. Plus Daniel is a great teacher :)

The best course I've ever taken on Coursera (and I've taken a dozen or more). Professor Lakens teaches with great care and attention and all the lessons are meticulously crafted, full of references and extra materials. Thank you very much for the opportunity!

Amazing course. Definitely worth to accomplish. Highly recommended for every researcher, lecturer, PhD. student or student that is interested in prestent state of art regarding choosen important topics statistics and methodology, especially in Psychology.

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.

This course was fantastic. I believe I learned more in this class than I learned in three formal behavioral statistics courses. I highly recommend this course to other grad students, and I look forward to the next course that Lakens is creating!

A great course to learn or refresh theoretical concepts behind statistical inferences. There is also a lot of hands-on material and additional content. I think I will come back to the videos and slides when I want to refresh some concepts.

This is an excellent course for firming up statistical knowledge and replicable research practices. Likely useful for all psych/cognitive science PhD students and researchers further along who come from the frequentist training tradition.

Very good course, with a lot of practical work, which is nice. Also very clear lectures explaining the topics and not too difficult but definitely not too easy exams! Overall fantastic course, which provided me interesting new insights.

Excellent course. All the assignments and the exams were very well drafted. I got to learn Bayesian statistics and Liklihood concepts in such a lucid manner. Professor Daniel Lakens is one of the best statitics teachers I would say.

Even after taking several undergraduate and graduate statistics courses, this class was a great refresher and taught me knew information! I thoroughly enjoyed it and will implement what I learned to improve my research practices.

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.

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.

It was truly an awesome course! I learned a lot from the very well done videos, and well thought-through assignment. Would recommend to anyone trying to marry theory and application in ways that are actually helpful! BRAVO!

Such a great course. Daniel Lakens does a fantastic job explaining the nuances of statistical repeatability with well thought out examples and helpful tools. This is hands down of the best Coursera courses I've completed.

The course helps you interpret statistical results and gives a foundation for making better studies. The course did a good job of making analysis first and doesn’t require a student to have strong programming skills.

This course will actually improve your statistical inferences. It's helpful to get an overview and better understanding of different statistical approaches and a nice introduction into Baysian stats. Would do it again!

The course is well-structured and excellently taught. The content is well researched and presented. The assignments are very practical and educative. (The philosophical references in the course content were on point!)

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.

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.

L​earning through implementation and practice are the best way and this course had a lot of those. The difficulty level was just right and using R programming and Open Science assignment had been a great experience.