The Lab could be better if there was a video that goes with it. But overall I love this course.

I learnt quite a bit. One of the most useful courses! I would suggest add more exercises in R.

This course has provided me with a good and simple understanding on the concept

This is a great course for this specialization but don't expect much depth.

nice lecture, but it is really too short, not into too much details.

Not for beginners but overall ideas are explained quite clearly

Excellent course, I think it still could include more content!

Great course and lots of useful knowledge!

Not covered entire regression technique

A good course for Bayesian statistics.

Great model with clear explanations

Nice overview and R examples!

Very useful insights and lea

Could be more informative

Awesome course.

A good course

very nice.

excellent

good

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.)

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.

some labs and quizzes not labelled correctly i.e. week 1 quiz in week2, week 1 and 2 lab in week 3

lectures are great.

but no tutor answers my question posted in discussion board.

Covers the basic of Linear Regression, would like to see more advanced material.

Only contains linear regression as opposed to other model types