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 Daniel C•
Very useful insights and lea
by Lalu P L•
Could be more informative
by Syed M R A•
by Toan L T•
A good course
by Ananda R•
by Micah H•
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.)
by Liam J K•
Overall it covers everything that you would want this course to.
However, I was a complete beginner when starting this course, and as a result I regularly got confused (especially when it came to coding in R)
3/5 stars for me
by Brandon F•
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.
by Jingyi Y•
lectures are great.
but no tutor answers my question posted in discussion board.
by Zhao L•
Covers the basic of Linear Regression, would like to see more advanced material.
by Kshitij T•
Only contains linear regression as opposed to other model types
The grading is just so annoying
by Stan M•
by Farabe K A•
by Jyotir P•
The course required no prerequisites, but no one can complete the course without actually completing the courses preceding this in the specializing series.
by Naivadhya J•
not so good