The course is good regarding concepts and theoretical exercises, but poor regarding applying new knowledge in R. Since the course is introductory, an instruction how to install R and a list of R functions without clear explanation how they should be applied in general regression situations makes me explore other sources to learn how to apply those concepts (e.g. DataCamp, CRAN-RProject, etc) and then get back to learn theory? Sorry for expectations but course should provide a full and integrated package of knowledge and skills, especially for beginners.

Furthermore, no Machine Learning (ML) is covered as a tool to run a regression.

My proposal is to provide an algorithm with a comprehensive example how to run a regression using R. From data to final model, step-by-step.

it provides a superficial knowledge. A deep understanding of subject can not be gain from this course

Not suitable for beginners

Great instruction on stats, however the R portion a weekly project that is largely self directed, very little instruction.

She just started with wk 2. There should have been more explanation and videos in week 1...not very interesting. I think statistics you need to take in person.

Good lectures!

I learned many thing from this course!

Thanks

Clearly presented. R instruction is pretty minimal, so there is a lot of trial and error and googling.

Good videos and projects

Incredible course with interesting projects and excellent explanation.

It's a very good course for starting to learn about linear regression. Just be aware that the quality of this course is a bit lower than the previous two. There are fewer videos, the book material is shorter (less suggested exercises and the chapters cover fewer things about linear regression) and some quiz exercises of week 2, which should only cover simple linear regression, have some questions about multiple linear regression which is the 3rd week's topic.

Also, as in the previous two courses, the emphasis is on statistics, not programming with R. This means that if you already know statistics and only want to learn how to use R, there are probably better courses out there for you. But if you want to learn or improve your knowledge of statistics, and also learn how to use R, then do take this course. I think that it's much better to start learning R by actually doing some statistical work and seeing first hand what the software is capable of doing with only a few lines of code, even if you don't fully understand the code's syntax at first.

With all that said, if you take the course PAY ATTENTION TO THE LECTURES, READ THE CHAPTERS and DO THE SUGGESTED EXERCISES. I can't stress this enough. If you don't do all of that, you won't learn as much as you should, and it's painfully obvious that some students didn't do all of that when you review their final R projects. Also, take your time with that final project because that's where you will actually learn some things about R and use what you have learned about statistics (you will have to use google to learn how to code some things properly).

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.

I liked, but I guess it could improve little by including more topics in linear regression analysis.

Could be more informative

A good course for Bayesian statistics.

Excellent. A well designed course and the explanation are very easy to understand

Great contents and great teacher. I enjoyed it very much.

Nice module! It is very clear.

Very good, and most important of all, very well explained!

Really great course, clear and easy to follow. Highlight recommended.

Great course!

The applications of linear regression models are vast. This is a useful course.

Simple syllabus, but excellent explanation.

Exceptionally helpful for beginners due to perfect combination of theoretical and practical sessions.

A great intro to linear regression, both from theoretical and practical point of view. Really enjoyed the course!

10/10