This course was exactly what I needed for a project involving logistic regression. Difficult (way past beginner!) but clear. Doing all the exercises in the workbook cemented my knowledge. Good final project. Very interesting to see other people's results from the final project. Great teacher! Thanks Duke!

Great course, just like the rest of the specialization.

I am just missing math formality, but I guess that I shall target a different type of course (perhaps even of platform) for that.

Great professor; one can see that besides mastering the material, she has done the homework regarding teaching techniques.

This course helped me in understanding the real story behind the numbers that we get in outcomes after running a linear regression , making predictions and interpreting the data. the tutor is really good and explains everything in a very simple manner. Thanks Courseera and thanks Duke University.

The content of the regression course is an essential first step into the world of data modeling. Mine as always did a remarkable job of intertwining theory with practice. The final project was certainly time-consuming and challenging, but extremely worth it to integrate the material well.

The course is very interesting and the concepts behind the regression analysis are very well explained and the pedagogy adopted by the professor is excellent and with the various examples and in between video quizzes, the implementation part of the concept was given complete justice.

This course checked off many boxes: theoretical concepts, assumptions, R code, interpreting the output, thought-provoking questions, non-trivial quizzes and interesting data analysis project. I am grateful to the instructor for putting together such a useful course. Thank you !

As with the previous courses on this Specialiazation, the instructor makes the difference. With detailed examples, clear explanations and a very handy supplementary e-book provided for free, this is a must course for everyone wanting to learn Statistics. Highly recommended!

Excellent course that gives a comprehensive view into Linear Regression and Modelling. While you need strong background knowledge to complete the module, it provides essential information and sets students up for success. Thank you to all involved in creating the module!

I truly enjoyed this course. It's one of the most useful and easier to understand than the rest. Could use more samples and information on how to deal with Categorical Data though.

Final Project is a full-time job. 1-week while working full-time is hardly enough time.

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.

Excelente curso para recordar muchos conceptos un poco olvidados. La metodología usada para acercar el contenido al uso de RStudio es excelente y gracias a ella logré desarrollar una serie de nuevas habilidades.

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.

linear regression is well taught throughout the course, but I think learning other types of regression modeling would be useful as well and adding them to the course materials is really good.

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!

Amazing course! Learned so much and can't wait to apply it as a (hopeful) Duke student. Makes me even more thrilled to apply as a statistical science major this fall 2024!

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 learn a lot. It added more lessons beyond my graduate school. Especially that the course is based on R, this course is very helpful for my journey towards using R.

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.