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.
Feb 01, 2017
It really helped me to have a better understanding of these Regression Models. However, I've noticed that there is a video recording repeated: Week 3, Model Selection. Part 3 is included in Part 2.
by Yatin M
•Dec 04, 2017
Fantastic course!
by Kumar G G
•May 01, 2017
I think this is the best course I have ever came across in the coursera. Everything is discussed in the most simple manner with great depth.
by Steven C
•Mar 15, 2017
Good course on the theories behind regression, followed by significant applications and how to use them in R. Lectures are very dry, but the information within them is very useful.
by Edgar I
•Jan 01, 2017
Muy intuitivo y con excelentes ejemplos!
by Christian B
•May 27, 2017
One of the better classes of the specialization. I found the quizzes quizzes (in particular week 3 and 4) quite challenging. I took the ML class before, which I do not recommend. Take this class before the ML class.
by Sergio A
•Dec 31, 2017
We learn some basic econometrics in this class and how to do basic regression mdels
by john c
•Dec 11, 2016
Hard but rewarding work that I think is perfect for Data Science.
by N S N
•Jan 02, 2018
Very Exciting Journey of learning and thoroughly enjoyed the course.
by Jan K
•Aug 02, 2017
As good as it could be given the limited amount of time. I have done some coursework on regression models before, but in my opinion the course could not have shown anything more without delving into technicalities. I would recommend it to anyone interested!
by Reinhard S
•May 19, 2017
well done!
by Massimo M
•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 Richard F
•Jun 18, 2017
This is the most challenging course so far - new concepts, new approaches and application to a wide variety of situations.
by Samuel Q
•May 28, 2018
Excellent course. The instructor is very knowledgeable and covers the most important aspects of regression models. I found myself relying a lot on the text book; unfortunately it contains a lot of typos but its short and easy to follow. The final course project is very open-ended in the sense that its up to the student to make his/her own analysis of the data. A lot of students complain about it but i thought this was great, as it allowed me to push myself to understand the subject better.
by SagarSrinivas
•Sep 12, 2017
Wonderful!, Lecture Series will be cherished.
by Carlos A C Z
•Jan 15, 2018
This was a good course. I learn a lot making the final Project of the course
by Raja J
•Nov 19, 2017
Very detailed and exhaustive course
by Maxim M
•Dec 10, 2017
A very good course, goes deeply into the material. The pace of the professor is ok. It's nice that he uses some practical cases to explain the theory.
by Shashikesh M
•Jul 27, 2017
One of the most required skill set in the field of data science.
by Matthew C
•Nov 21, 2017
Week 4 was a lot harder than the other weeks (specifically the quiz). Overall, a lot of great information packed into this month.
by Ganapathi N K
•May 06, 2018
Good
by Vitalii S
•Jul 20, 2017
I liked this course, but I would like that last task be more complicated.
by Sabawoon S
•Sep 12, 2017
Excellent course, it could be improved with more practical examples.
by Darshan
•Jun 19, 2017
Nice course
by Keidzh S
•Jul 03, 2018
Strong and effective course. Completely makes better my math skilss. Thank you Brian Caffo and other masters for this course. Looking forward to start tne next course from John Hopkins University.
by William A
•May 17, 2018
Loved it