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 Shan G•
Jun 25, 2018
This courses uses R
By Yonathan M P•
Jun 08, 2019
Amazing course! Tons of insights and original thinking!
By Pepe V C•
Jun 01, 2019
The explanations from Daniel are awesome... I am understanding p values in a manner I never did before.
By Daniel A L•
May 25, 2019
As an early career scientist, this course helped me get a solid foundation on statistical inferences. After years of accumulating vaguely-organised statistical concepts and procedures, now I am confident I have mastered the basics. Definitely the best course I've had in a long time!
By Julien B•
Jul 21, 2019
Amazing course! Many thanks to Daniel Lakens for the time spent on this. It's really useful and I've learned so many things I will use to make better research.
Nov 17, 2018
This course is amazing, dynamic and entertaining. Daniel Lakens is brilliant.
By Dennis H•
Dec 04, 2018
excellent refresher and expansion on frequentists stats (interpretation) and nice intro to bayesian stats. highly recommended.
By Jason L•
Dec 07, 2018
I really enjoyed the course and found it challenging at times. Its definitely worth the time and effort as my knowledge has improved dramatically. I have gained knowledge which will be really helpful in the future for correctly interpreting current literature as well as future reporting of data and building research ideas. I also appreciate all the effort put into this course and the tools provided which will be beneficial to me in the future. I have saved a lot of the webpages and tools for future reference and will definitely use them when beginning research as well as examining current literature. Excellent
By Romain R•
Jan 10, 2019
Great overview of statistics and philosophy of science. Now I know what to tell my students when they ask me about p-values. At last !
By Richard M•
Jan 22, 2019
Great course. A lot of topics introduced and explored. Well worth the time.
By Esthelle E•
Jan 23, 2019
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!
By Bruno V•
Feb 19, 2019
Thank you daniel, very educational, I learned a lot
By César A Y B•
Feb 26, 2019
Practico sin hacer a un lado lo teorico, te dan un marco mucho mas amplio para la interpretacion y planteamiento de hipotesis
By Peter K•
Mar 01, 2019
Excellent course. I learned a lot about inference.
By Nareg K•
Nov 30, 2018
By Maureen M•
Mar 21, 2019
The best MOOC in statistis ever!
By Ernesto M•
Jul 30, 2018
Excellent course that changed my views on interpreting p-values, confidence intervals, etc. and will surely make my statistical inferences much better.
By Aishwar D•
Aug 25, 2018
Thank you Daniel Lakens for creating and sharing this course in the way you have done. The content is very appropriate for any one anyone who is looking to work with Inferential Statistics. Many thanks
By Jose J P N•
Oct 09, 2018
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.
By Jan N•
Oct 11, 2018
Nicely packed body of information necessary to understand your data and to infer any judgements about real world impact of scientific research. The course led me to question my way of creating inferences about my research and conclusions of others. Now, I can be more precise in formulating hypotheses and interpreting results in the way that is closer to truth. Thank you.
By Yoel S•
Sep 16, 2018
One of the best online courses I've ever taken! (completed it just now). Great lectures, great materials, great assignments. Links and information for anyone wanting to go deeper on any topic. Brilliant and engaing lecturer who provides the information with so much passion and interest that it "catches on" to you. I especially liked how actual studies are used as examples for learning/assignments. Bottom line - in my opinion it's a must do course to anyone who is interested in inferential statistics.
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 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.