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).
par Esthelle Ewusi-Boisvert•
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!
par Richard McClintock•
Jan 22, 2019
Great course. A lot of topics introduced and explored. Well worth the time.
par Daniel Kovacek•
Jan 15, 2019
Thanks to the creators of this course for putting together an engaging curriculum. One note of criticism is that the assignments for Week 5 required G*power software which as far as I can tell is not available on Linux (I'm running Ubuntu).
The practical examples, specifically the example of the impact of Facebook's A/B testing were particularly interesting. I think this course has improved the tools I have at my disposal for interpreting the language commonly used in academic reporting, and I'm confident the information and tools presented will help in my own research in the coming years.
par Romain Raymondie•
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 !
par Leanne Couchman•
Jan 03, 2019
Very informative course, well taught and with lots of useful practice built into the assignments.
par Jason Logan•
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
par Dennis Hernaus•
Dec 04, 2018
excellent refresher and expansion on frequentists stats (interpretation) and nice intro to bayesian stats. highly recommended.
par Nareg Khachatoorian•
Nov 30, 2018
Nov 17, 2018
This course is amazing, dynamic and entertaining. Daniel Lakens is brilliant.
par Alicia Shanti James•
Nov 11, 2018
Good pacing and ratio of exercises/lecture. I found the assignments very useful and the instructions easy to follow. Comparing my performance on the pre-tests and pop quizzes at the beginning of the course to those at the end clearly demonstrates that the coursework honed my stats intuition, and I'm very grateful! The only critical feedback I have is that occasionally, I found the wording of test/quiz questions to be a bit confusing. Thanks!