This course explains the statistical aspects of linear regression. A detailed explanation of minute aspects of linear regressions. The quizzes and assignments are quite exciting. Recommend to anyone with little know (4/10) knowledge regarding Linear Regression.

Another fantastic course by Duke staff. I'd love to thank Professor Cetinkaya-Rundel for the passion that she shares. I really loved working on weekly labs and a final project. I learned a lot of tools and developed my own functions while solving the tasks.

This was a challenging but very rewarding course. I feel that my analyst skills have greatly improved as a result of understanding and applying the ideas through the quizzes and final project. Thank you very much to the instructors!

A good course introducing basic ideas in linear regression and modeling! However, it might be better if future versions of this course could include slightly more advanced concepts such interaction and logistic regression model.

This is the first course that's made me understand linear regression. The instructor is so spot on, and all areas are covered including diagnostics which I find most teachings skipping. Awesome course!

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.

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.

It has been a great adventure so far. I still greatly appreciate how final projects are constructed that gives us freedom to choose our approach to the problems within the data set.

This course was designed fabulously! However, you'd better have some statistics skills before this class, like EDA and programming skills, since the final project is sooooo hard!

Again like the first two courses, this course was great. The Lectures were excellent and the assignments very helpful in solidifying understanding. Thanks a lot Dr Mine

I enjoyed this course. It was quick, but I learned a lot! I thought the assignments were well-thought-out, and the custom R package for the course was a nice touch.

This was the first course where I started noticing that I'm really learning and was able to apply some of the earned knowledge at work.Totally recommended.

Great course! I've already taken a similar stats course using SPSS and this course was an excellent refresher, while increasing my familiarity with R.

Very complete course, although it would be nice to include some explanation about the interaction between variables in a multiple linear regression.

wonderful module! easy to understand. the labs are extremely helpful which enables you to have a good command of practicing linear regression with R

The course provides good insights for linear regression. Also, I think the professors are intended to statistics and its application in real life.

It is a very nice course. The instructor's way of delivering the content is flawless and very precise. The course has been designed very nicely.

The structure of this course is really good. The slides demonstrates everything clearly. The speed that the instructor talks is good too.

One of the most useful of the series, can be valuable as a standalone course on Regression and Correlation. It is also very accessible.

The Professor is a clear communicator and has a flair for finding interesting and engaging examples to illustrate the concepts.

Excellent course, wonderfully organised and in-depth yet simplistic explanation technique makes understanding regression easy.

Nice course. Comparing this course with the second and fourth ones in the specialization, this is a rather light-weighted one.

Very interesting course and well taught!! Advice to everybody also if you have not much previous experience with regression.

Great course! as a suggestion I Believe Duke should publish new courses on other prediction tools (like SVM, for example)