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.
par Sean T•
Jul 04, 2018
Really enjoyed this course! It teaches you the theory you need to understand how a linear regression model works, how to check that your model fulfils certain conditions so that it is valid, and how to build and implement your model in practice!
par Anna D•
May 22, 2017
Great course and lots of useful knowledge!
par Jian S•
Dec 12, 2016
I learnt quite a bit. One of the most useful courses! I would suggest add more exercises in R.
par 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.
par 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.
par Artur A B•
May 10, 2017
The material is very straightforward and gives a great introduction to multiple linear regression. My only reservation is the length of the course, which seems to be a bit shorter than other courses in the certification. Would love to have more material/in-depth exposure to components available to us in R.
par Syed M R A•
Mar 20, 2018
par NG Y W•
Dec 12, 2016
This course has provided me with a good and simple understanding on the concept
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!
par 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.
par Neeraj P•
Feb 08, 2017
First, this course will enable me to understand the quantitative part of a research. Additionally, this will help a student to understand the essence of performing such numerical calculations and will make us understand the relationship between different variables.
Secondly, this is the need of the hour and such numerical functions are used worldwide so, learning this course will help in almost every field be it 'Management' be it 'Social Sciences' or be it 'Human Behaviour'.
par 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
par Guillermo U O G•
May 12, 2019
I liked, but I guess it could improve little by including more topics in linear regression analysis.
Apr 19, 2019
A good course for Bayesian statistics.
par Lalu P L•
Apr 22, 2019
Could be more informative
par Natalie R•
Jun 03, 2019
Clearly presented. R instruction is pretty minimal, so there is a lot of trial and error and googling.
par Siyao G•
Aug 06, 2019
Contents are easier compared with other courses in this series. Quite systematic and easy to understand.
par Zhao L•
Aug 09, 2016
Covers the basic of Linear Regression, would like to see more advanced material.
par QIAN Y•
Jul 01, 2016
Compared to other courses in the specification, this course content is too shallow and brief.
par Brandon F•
Oct 16, 2017
Provides a good overview, but I felt some loose ends were not addressed in terms of how stringent the conditions need to be met, and if one can use MLR when this is not the case.
par Assaf B•
Mar 15, 2018
The mathematical depth of this course, is insufficient even at its targeted level, and therefore a lot of practical manipulations of the data, and fine tuning of the model could be had if a week more has been put into this course.
Easy does not equate fun, after completing this course, I left the specialization.
par Micah H•
Apr 30, 2018
Other nits about the depth and breadth of the course aside, I thought it was a good course. The main critique I have to offer is the lack of emphasis of using the power of R. When teaching model selection, the course should have at least provided instruction—or at least a written resource—on how to write the R code for automating forward/backward selection by R^2.* Being a course about using R as well as about linear regression and modeling, it seems like the appropriate thing to do.
(*A classmate whose final project I peer-reviewed used for loops to run the forward model selection based on R^2. That's how I learned about it.)
par Kshitij T•
Nov 03, 2017
Only contains linear regression as opposed to other model types
Jun 30, 2019
not so good
Aug 18, 2019
The grading is just so annoying