May 24, 2017
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.
May 25, 2019
I feel I'm running out of complement words for this course series. In conclusion, clear teaching, helpful project, and knowledgeable classmates that I can learn from through final project.
by Tomasz J•
Oct 15, 2017
Very good and gentle introduction to linear regression. The final assignment however uses dataset which is very risky to use with linear regression (not all conditions were met in all the assignments I rated!). This is confusing.
by Duane S•
Mar 30, 2017
This course provides a very good introduction to basic linear regression, including simple multiple linear regression, model building and interpretation, model diagnostics, and application in R.
by Erik B•
Feb 26, 2017
Good, but a little "smaller" than the Inferential statistics course (which is very complete). I would have liked to also learn Logistics regression, which I now have to learn elsewhere.
by Allah D N•
Dec 12, 2018
Files for this course were broken and I faced a lot of trouble to find good one. This course may be made more comprehensive and not assuming that reader have also understanding.
by Charles G•
Jan 20, 2018
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•
Dec 20, 2017
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•
Jan 13, 2017
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.
Nov 27, 2016
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•
Apr 25, 2018
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•
Mar 30, 2017
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•
Oct 30, 2016
Excellent Course. Mine, the teacher is a great great teacher. The mentors help a lot.
Technical parts, coursera platform should work better
by Nathan H•
Dec 19, 2018
Very informative for an introduction. Wish it was longer and more mathematical, but there are other courses on Coursera for that.
by Tony G•
Jan 29, 2017
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•
Aug 09, 2016
Great course. I only wish there was more time spent on dealing with more complex situations such as overfitting.
by Siyao G•
Aug 06, 2019
Contents are easier compared with other courses in this series. Quite systematic and easy to understand.
by Natalie R•
Jun 03, 2019
Clearly presented. R instruction is pretty minimal, so there is a lot of trial and error and googling.
by Guillermo U O G•
May 12, 2019
I liked, but I guess it could improve little by including more topics in linear regression analysis.
by Jian S•
Dec 12, 2016
I learnt quite a bit. One of the most useful courses! I would suggest add more exercises in R.
by NG Y W•
Dec 12, 2016
This course has provided me with a good and simple understanding on the concept
by Amir Z•
Sep 01, 2016
This is a great course for this specialization but don't expect much depth.
by zhenyue z•
Jun 07, 2016
nice lecture, but it is really too short, not into too much details.
by Luis F R C•
Oct 27, 2016
Excellent course, I think it still could include more content!
by Anna D•
May 22, 2017
Great course and lots of useful knowledge!
by Nikhil K•
Jan 25, 2020
Not covered entire regression technique
Apr 19, 2019
A good course for Bayesian statistics.