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
대학: Kevin Hamon•
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.
대학: Rodney Kennedy•
May 10, 2019
Very comprehensive and enjoyable course, highly recommended.
Apr 28, 2019
Fantastic course on inference, difference between frequentist and Bayesian concepts like p-values, confidence and credible intervals, and validity.
대학: Reuben Addison•
Apr 17, 2019
The best statistics course I have ever taken
대학: 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.
대학: Maureen Montanía•
Mar 21, 2019
The best MOOC in statistis ever!
대학: Peter Kamerman•
Mar 01, 2019
Excellent course. I learned a lot about inference.
대학: 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
대학: Bruno Verschuere•
Feb 19, 2019
Thank you daniel, very educational, I learned a lot
대학: 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!