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
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 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.
By 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.
By 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.
By Sanne D•
May 27, 2018
Questions are sometimes hard to understand if you are not a native speaker of the English language
By Leanne C•
Jan 03, 2019
Very informative course, well taught and with lots of useful practice built into the assignments.
Jul 29, 2019
By 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.
By 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.