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.
Jun 29, 2020
Excellent explanations. Strong examples. Helpful exercises. Highly recommended for anyone who ever has to conduct inferential statistics or read anything that reports a p value or bayes factor.
創建者 Matteo M•
Aug 06, 2020
Great course to dig a bit deeper into some very useful statistical concept. 4 starts as many of the contents are not "open" as the course preaches (see Microsoft Office documents or GPower).
創建者 Lior Z•
Oct 10, 2018
Great course! Highly recommended.
One thing to improve - I would like to see more theory behind the different effect sizes (eta-squared/omega squared/etc)
創建者 Ramón G M•
Apr 23, 2018
I recovered my faith in statistics with this course.
Makes me alert not to believe every effect I see in the data.
Teaches to do good science.
創建者 Max R•
Nov 29, 2019
It was nice. I initially hoped the course would have made some technical details intuitively graspable, but it was fine as it is.
創建者 Mage I•
Jun 20, 2018
The course was very useful, I enjoyed Daniel's advice. However, I wasn't able to make R work, so I couldn't do the exams.
創建者 Sanne D•
May 27, 2018
Questions are sometimes hard to understand if you are not a native speaker of the English language
創建者 Leanne C•
Jan 03, 2019
Very informative course, well taught and with lots of useful practice built into the assignments.
Jul 29, 2019
創建者 Yao Y•
Nov 27, 2016
The video is ok, but it lacks a lot of details in calculation. The assignment is very confusing because some questions refer to some 'previous' statement while fail to clarify which is related.
創建者 Emmanuel k A•
Jun 21, 2019
I started just today and I'm beginning to love the course
Sep 21, 2018
I dropped the course at Lecture 1.2 when it was supposed to really teach me what is p-value but it failed. A 20 min video without telling much about p-value and also adding more confusion and unanswered questions at the end. Like what is p-value distribution?
I expected to receive a decent step by step tutorial on statistics starting from basics but it was just another convoluted stuff on statistics.