A great primer on linear regression with labs that help to establish understanding and a project that is focused enough not to be overwhelming, and allows the learner to play around with the concepts
Very good course taught by Dr. Mine who is as always a very good teacher. The videos are very eloquent and easy to understand. Highly recommend it if you are looking for a basic refresher course.
By Roel M•
A nice experience, clear explanations, lots of exercises that are really important. The project also allowed one to reflect carefully on how to use R to carry out the analysis.
By Charles G•
Good but I felt some gaps in the material made it difficult to learn. Also, the quiz questions are focused on attention to detail "gotcha" questions. This can be frustrating.
By Aydar A•
Nice course. The downside is that it only explains interpretation of linear regression, but not enough details about how linear regression is performed from math point of view.
By Jessye M•
This course was good. However, compared to the other courses in the specialisation had less content. I would have liked to have videos on logistic regression as well.
Compared to the Course 2 Statistic inference, this session seems to be a little be informal and rush. But still learn a lot from the conception of linear regression!
By christian a•
Really good course as the previous ones in this specialization. Could have included something more on checking for collinearity with categorical variables.
By Dgo D•
It was a really good introduction to Linear Model, I recommend this course to all people who wants to learn more about statistical analysis
By Ana C•
Excellent Course. Mine, the teacher is a great great teacher. The mentors help a lot.
Technical parts, coursera platform should work better
By Janice H•
Lecture explanations are fantastic as are slides. Pace is appropriate. R information is a little sketchy but manageable with diligence.
By Nathan H•
Very informative for an introduction. Wish it was longer and more mathematical, but there are other courses on Coursera for that.
By Tony G•
Good overview of regression modeling. Would have liked to see more on logistic regression. But that's ok, can read it on my own.
By Scott T•
Great course. I only wish there was more time spent on dealing with more complex situations such as overfitting.
By Shivani J•
I liked the course. I learnt a lot while working on its project. Instructor's way of teaching is very engaging.
By Elham L•
The material in this course is explained very well. However it requires one has the knowledge in using R.
By Siyao G•
Contents are easier compared with other courses in this series. Quite systematic and easy to understand.
By Natalie R•
Clearly presented. R instruction is pretty minimal, so there is a lot of trial and error and googling.
By Guillermo U O G•
I liked, but I guess it could improve little by including more topics in linear regression analysis.
By marvin m•
The Lab could be better if there was a video that goes with it. But overall I love this course.
By Jian S•
I learnt quite a bit. One of the most useful courses! I would suggest add more exercises in R.
By NG Y W•
This course has provided me with a good and simple understanding on the concept
By Amir Z•
This is a great course for this specialization but don't expect much depth.
By zhenyue z•
nice lecture, but it is really too short, not into too much details.
By Luis F R C•
Excellent course, I think it still could include more content!
By Anna D•
Great course and lots of useful knowledge!
By Nikhil K•
Not covered entire regression technique