Very comprehensive introduction to regression models. Well done!

learning alot

This was great. However, to follow it more precisely, you need the following: Read the book of linear regression from the same teacher. Usually a useful strategy would be to read each chapter first from the book, then watch the video associated to it, and finally do the swirl exercice.

You may need to follow the course notes of this class, they are published in github, and they can help a lot, especially for the quizzes.

really it is very good

excellent courseware with assignments

It was rather hard and time consuming, but I learned a lot about poisson and binomial regressions.

Learned a lot and enjoyed the course project. Would like to have two course projects because I gain the most out of them.

great course

Amazing course... good learning experience. Very useful for my role in my Organization.

A good review of regression that allows the student to apply practical implementations in R Studio

Very interesting

Along with the Statistical Inference Class and Building Predictive Models Class this is one of the best in this Specialization. It is reasonably tough, well-taught, overall great.

Es un gran curso para aprender, junto con el resto de los cursos de la especialización.

Very much thank you for teaching me such an awesome course

Great course, but please check those subtitles that are occasionally completely off!

Relatively, this is one of the best courses and lecturers of the specialization, Brian delivers clear, thorough and well-paced lectures. These lectures on statistics, regression and machine learning are where the rubber hits the road after a lot of prep work to learn R and principles/tools of data science taught in earlier classes.

Really Fun Course. There is a lot to learn in this topic and this could be studied for a lifetime. I feel like I could apply this to discover solutions for issues at work.

Quite practical. It does encourage one to follow-up with a more advanced course.

Good class.

Overall an excellent course, but there were some issues with the wrong function being specified in one quiz (Q3q6) and the wrong answer in another. Apparently it has been that way for years, according to the forum. The quality of the lectures was very high and the information interesting, so compliments to Dr. Brian Caffo on that. However, the estimated time for completion of each week is ridiculously short compared to reality. Five hours? For me it was more like 20 hours, and more if I did all the Swirl exercises. Such low-balling on the time estimates is typical of the Data Science stream. The final project is given as 2 hours but it was closer to 15 for me. i wish Coursera would go back to the stream model where you could bump yourself to the next intake. That is much less stressful for busy working people like me.

Probably the most conceptually challenging and practically useful course in the JH data science certification series (so far... I have a few more courses to complete).

It lacked practical application, not impressed.

Really good! All the pieces from the previous courses start to come together into a whole.

This is the first time that I take a course about regression models. I I found it very useful and enteresting, may be for someone who already know this argument it could be less useful, because in some part it is lacking. I mean above all about some example that could be a little bit more complex than those presented in the videos and that more probably it could be more similar to real cases. In anycase, I would like to thank a lot the teachers and courser for this occasion to learn given to me and others !

Good course for basic regression. Would have enjoyed more time spent on properly interpreting results and how they are relevant to answering business questions.