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).
교육 기관: Yonathan M P•
Jun 08, 2019
Amazing course! Tons of insights and original thinking!
교육 기관: Pepe V C•
Jun 01, 2019
The explanations from Daniel are awesome... I am understanding p values in a manner I never did before.
교육 기관: Daniel A L•
May 25, 2019
As an early career scientist, this course helped me get a solid foundation on statistical inferences. After years of accumulating vaguely-organised statistical concepts and procedures, now I am confident I have mastered the basics. Definitely the best course I've had in a long time!
교육 기관: Shan G•
Jun 25, 2018
This courses uses R
교육 기관: Andreas K•
Jul 15, 2019
While the course is for researchers, also non-researchers like myself can get a better understanding for methods and pitfalls in science. You need to have prior knowledge of basic statistics and how to perform statistical tests, such as a t-test. I read up on the latter on the Internet, which proved sufficient.
Most examples are from psychology, but the principles are general. In this brief course, very little mathematics is used, but there are other sources for that. The section on r class effect sizes could have used some more work. (Or perhaps I should know more beforehand?) The final exam may ask questions not explicitly covered in the material; I do not recall any mention of Bonferroni correction, but this is perhaps so basic that it is considered a prerequisite.
교육 기관: Emmanuel k A•
Jun 21, 2019
I started just today and I'm beginning to love the course
교육 기관: Kevin H•
May 13, 2019
Very good introduction course. An improvement could be to include more high level summaries of each sections. I think it could help students better organize their thoughts.
교육 기관: Rodney K•
May 10, 2019
Very comprehensive and enjoyable course, highly recommended.
교육 기관: Nicholas•
Apr 28, 2019
Fantastic course on inference, difference between frequentist and Bayesian concepts like p-values, confidence and credible intervals, and validity.
교육 기관: Reuben A•
Apr 17, 2019
The best statistics course I have ever taken
교육 기관: Andrés C M•
Mar 25, 2019
Excellent course. I improved my statistical knowledge and learned more about bayesian inference. Also, I learned something about how to pre-register a research and its benefits of doing so.
교육 기관: Maureen M•
Mar 21, 2019
The best MOOC in statistis ever!
교육 기관: Peter K•
Mar 01, 2019
Excellent course. I learned a lot about inference.
교육 기관: César A Y B•
Feb 26, 2019
Practico sin hacer a un lado lo teorico, te dan un marco mucho mas amplio para la interpretacion y planteamiento de hipotesis
교육 기관: Bruno V•
Feb 19, 2019
Thank you daniel, very educational, I learned a lot
교육 기관: Esthelle E•
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!
교육 기관: Richard M•
Jan 22, 2019
Great course. A lot of topics introduced and explored. Well worth the time.
교육 기관: Daniel K•
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.
교육 기관: Romain R•
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 !
교육 기관: Leanne C•
Jan 03, 2019
Very informative course, well taught and with lots of useful practice built into the assignments.
교육 기관: Jason L•
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
교육 기관: Dennis H•
Dec 04, 2018
excellent refresher and expansion on frequentists stats (interpretation) and nice intro to bayesian stats. highly recommended.
교육 기관: Nareg K•
Nov 30, 2018
교육 기관: Bertin•
Nov 17, 2018
This course is amazing, dynamic and entertaining. Daniel Lakens is brilliant.
교육 기관: Alicia S J•
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!