Eye opening course. My first introduction to some of the issues surrounding p-values as well as how to better utilize them and what they truly represent. My first introduction to effect sizes as well.
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.
Fantastic course on inference, difference between frequentist and Bayesian concepts like p-values, confidence and credible intervals, and validity.
By Sanjeev P•
Fantastic, enjoyable, entertaining with a dash of humor. Highly recommended for non-statisticians interested in improving their grasp of the field.
By Sebastian U•
The course gave me useful insight into interpreting and handling statistical parameters. Information and methods were well balanced. Thank you.
By Ted T•
Top quality course. Learnt a lot thanks to the very helpful and clear teaching. Put the equivalent course at my actual university to shame.
By Michael E•
Thank you. This course represents a great deal of important work for me to continue to revisit and incorporate in my efforts moving forward.
By Ляшенко І В•
This was an incredibly fresh eye-opener course with a load of practical invaluable skills for my professional activity! Highly recommended!
By Kathryn S•
I absolutely loved Prof Lakens' clarity! The effort he put into making the material and the assignments easy to understand is astounding.
By Jingbo H•
very good course! The teaching style is good and the assignment in R is very helpful for me to understand the main ideas of this course.
By Mathew L•
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 Jana H•
Wonderful course! It was really well-conceived and I learned a lot. Would definitely recommend it to everyone interested in statistics!
By Romain R•
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 Munzar A S•
Fabulous course! Points out a lot of the nonsense going on in psychological research, how we can spot it, and how we can do better!
By marcus n•
Great high level overview of intermediate applied statistics. The instructors presentation skills and pace are very good as well.
By Maxim P•
Such a wonderful course, I really enjoyed the walkthrough. Also, I'd like to note the perfect English language of the lecturer.
By Dennis H•
excellent refresher and expansion on frequentists stats (interpretation) and nice intro to bayesian stats. highly recommended.
By Katia D•
Great course! Although I was struggling with lecture 2 (Bayesian Statistics)––It was very mathsy and a bit difficult to follow.
By Cesar Y•
Practico sin hacer a un lado lo teorico, te dan un marco mucho mas amplio para la interpretacion y planteamiento de hipotesis
By Bernhard E•
Great course; didactically and scientifically excellent. I would recommend it to all PhD students in the empirical sciences.
By Agustin E C F•
This is a great course!. It tackles common misbeliefs and approaches the topics both in a technical and coloquial manner.
By Ezra H•
Very well structured. Every week covered a different important topic. Overall a useful course for empirical researchers.
By Maojie T•
I think it's a useful course for me, but I think some content in the last week is a little bit trivial for me...
By John B•
very well organised course and deepens understanding. Excellent resources provided also, e.g. books and papers.
By Davide F S•
Clear, concise, and engaging explanation of many statistical concepts that can be readily applied in research.
By Amy M•
Great lectures and really helpful simulations. Very engaging and interesting. Full of useful resources.
By Lydia A G•
Highly recommendable course. It puts clarity from the most basic concepts to some other new insights.