All the courses in this specializations are very well-made and rigorous. I think all MOOCs, especially techinical ones, should be as well-designed as this or even more.

The course is really helpful. It has started with simple Regression model and gradually build the different advance regression model. Thanks for this wonderful course.

rigorously explained some of the most important algorithms in regression world, also the pros and cons of using certain algorithm for certain conditions. totally worth

Good overall theoretical and practical explanation of the material, I was also able to use scikit learn and pandas without any difficulties instead of graphlab create.

Great class (really liked the graphical interpretations of Lasso and Ridge optimizations).

Perhaps some quizzes (and especially assignements) could be more challenging?

Great course, excelent professors & simple yet accurate explanations, always guiding you through the course and through practical implementation of acquired knowledge

Great course! I love the instructors and the thoroughly designed structure of their course. The effort they put into this course certainly shines through every video!

I love this course! It explains more about Regression itself and not just discussing on how to use libraries for it! Very intuitive and informative at the same time!

its a great course. little bit disappointed from the decision of not continuing Recommended systems and capstone project. PLEASEEEEEE roll out course 5 and 6 as well

Nice course. I started with this specialization as a beginner. I was very intuitive and great course I would recommend to others people interested in data science.

The Regression course is pretty amazing. Got to learn a lot of cool stuffs. Emily Fox made everything clear. Glad to have taken this course and the specialization.

Coursera is shaping me in the best version of myself through knowledge and guide. I am always be grateful of god that I found Coursera. My online teaching guru!

Great course - you'll become much more accustomed to Python if you aren't already (I'm an R convert) and really learn the principles behind regression analysis.

Covered a lot of the common practical aspects of regression modelling and also covered the calculus derivations for those who are curious. Great course overall.

Very clear and thorough explanation on regression and implementation details. The closed-form calculation and comparison against gradient descent is excellent.

I love how this course goes deep into the math, yet makes it quite approachable even if you have no math skills. Emily is so good at explaining the concepts!

Excelent Course. It not only teaches the ideia behind the topics but it also provides an in-depth view of the algorithms and its parts. Totally recomend it.

Great background through applications of linear regression and explanations that are step by step that allow the understanding and construction of learning.

Thank you for all the effort you put in the exercises and the data. It was a great course! Perhaps you could put references for further study of the topics?

The best course on regression I have attended so far !!! I really liked the way professor explained the concepts. Has resources on in-depth details as well.

The course should move away from the default graphlab implementation to scikit-learn as the package is outdated and python 2 is about to go out of support

Liked this course, really good assignments which help you to master the concepts thought in the lectures. Thanks a lot for making this available for us.

One of the best courses on Regression. Covers topics in detail with all basics covered. Highly recommended for all analysts/data-scientists out there.

This is a great course, pretty obvious that Emily 1) knows her stuff and 2) put a lot of work into this class to provide an a nice look at regression.

Professor Emily Fox should do a follow up for this course. It was so simple and intuitive to understand. I want to work as a PhD student under her.