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.
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
By Reuben Addison•
Apr 17, 2019
The best statistics course I have ever taken
By Andrés Campos Mercado•
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.
By Maureen Montanía•
Mar 21, 2019
The best MOOC in statistis ever!
By Peter Kamerman•
Mar 01, 2019
Excellent course. I learned a lot about inference.
By César Alejandro Yépez Barrios•
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
By Bruno Verschuere•
Feb 19, 2019
Thank you daniel, very educational, I learned a lot
By 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!
By Richard McClintock•
Jan 22, 2019
Great course. A lot of topics introduced and explored. Well worth the time.
By 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.
By 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 !