About this Course
Top reviews
By MM
•Mar 13, 2018
Great course, very informative, with lots of valuable information and examples. Prof. Caffo and his team did a very good job in my opinion. I've found very useful the course material shared on github.
By KA
•Dec 17, 2017
Excellent course that is jam-packed with useful material! It is quite challenging and gives a thorough grounding in how to approach the process of selecting a linear regression model for a data set.
388 Reviews
By André Caetano Luna
•Dec 13, 2018
very good practical approach, with good theoretical coverage of most important principles of regression
By Eric Yue
•Dec 09, 2018
good course, nice teaching!
By David Robinson
•Dec 05, 2018
Great course, well taught with very useful examples
By Shahryar Noei
•Nov 29, 2018
The course is awfully simplified.
By Pedro Cadahia Delgado
•Nov 15, 2018
Impressive! Very detailed in statistics and Mathematics, I would like an extensive course in logistic regression, it was short compared with lm course.
By Raunak Shakya
•Nov 10, 2018
a very good course before digging deeper into Data Science advanced topics.
By Philip Mattocks
•Nov 07, 2018
Excellent course
By Mohammad Abuarar
•Nov 06, 2018
This course was a great as an intro to regression models, material was good but needs some update on the links, for the structure of topics it would be better if it was more coherent as many topics were covered randomly in different weeks like residuals.
Thanks for the instructor Brian Caffo for the good material and and clarification of concepts for a better understanding for students.
By David Shen
•Nov 05, 2018
needed to consult external resources extensively
By Jesse Kreitzman
•Nov 03, 2018
The material was a little disjointed and not always explained with examples. Passing this course required a significant amount of outside study and research.
