13 de may. de 2021
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.
23 de feb. de 2020
Easy to follow, well structured, good references, empathy of presenter. I will recomend this to other friends who made Black Belt certification and still don't have clear what the Pvalue is for.
por Romain R•
10 de ene. de 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 !
por Munzar A S•
10 de abr. de 2020
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!
por Petr Č•
14 de abr. de 2022
+ very good hints about how to use and not to use p values and which kind of incorrect inferences to avoid
+ hands-on assignments
por marcus n•
4 de feb. de 2017
Great high level overview of intermediate applied statistics. The instructors presentation skills and pace are very good as well.
por RAAMKHUMAR M H•
13 de jul. de 2022
EXCELLENT COURSE THAT SATISFIES MY UNIVERSITY REQUIREMENTS AS WELL AS CATERS A GOOD LEARNING CURVE ON OUR STATISTICAL KNOWLEDGE.
por Maxim P•
22 de mar. de 2020
Such a wonderful course, I really enjoyed the walkthrough. Also, I'd like to note the perfect English language of the lecturer.
por Dennis H•
4 de dic. de 2018
excellent refresher and expansion on frequentists stats (interpretation) and nice intro to bayesian stats. highly recommended.
por Katia D•
11 de feb. de 2018
Great course! Although I was struggling with lecture 2 (Bayesian Statistics)––It was very mathsy and a bit difficult to follow.
por Ester N•
24 de ene. de 2022
Learned a lot during this course and it left me with a lot of challenges with planning my own research. I am very grateful.
por Cesar Y•
25 de feb. de 2019
Practico sin hacer a un lado lo teorico, te dan un marco mucho mas amplio para la interpretacion y planteamiento de hipotesis
por Bernhard E•
2 de ene. de 2021
Great course; didactically and scientifically excellent. I would recommend it to all PhD students in the empirical sciences.
por Agustin E C F•
5 de nov. de 2019
This is a great course!. It tackles common misbeliefs and approaches the topics both in a technical and coloquial manner.
por Yuvaraj K•
23 de ene. de 2023
I liked the course. Builds very good intuitive on the concepts. Worthy one when you start learning statistic inferences.
por Ezra H•
19 de may. de 2020
Very well structured. Every week covered a different important topic. Overall a useful course for empirical researchers.
por Maojie T•
1 de ene. de 2020
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...
por Luke B•
17 de jul. de 2018
very well organised course and deepens understanding. Excellent resources provided also, e.g. books and papers.
por Davide F S•
21 de may. de 2017
Clear, concise, and engaging explanation of many statistical concepts that can be readily applied in research.
por Massimiliano D•
30 de nov. de 2022
Really well organised with plenty of practical activities and assessment along the way to keep you on track.
por Yeison F V F•
12 de dic. de 2021
A perfect course to keep learning and to clarify the doubts about the essential of statistical inference
por Amy M•
2 de nov. de 2016
Great lectures and really helpful simulations. Very engaging and interesting. Full of useful resources.
por Lydia A G•
28 de may. de 2020
Highly recommendable course. It puts clarity from the most basic concepts to some other new insights.
por Sandra V•
10 de dic. de 2016
Extremely useful cours, especially the first 5 weeks! Pleasant and enjoyable. Definitely recommended!
por Fengyuan L•
31 de jul. de 2020
excellent course. It solves lots of my question over the p value as well as the statistic analysis.
por Habiba A•
29 de dic. de 2016
Easy to follow, light workload, and most importantly: very useful material of supreme importance.
14 de ago. de 2019
Great course. Already had some knowledge about statistics, but this course really improved it.