Linear Regression and Modeling

Very interesting, I have learned a lot and I have been able to apply it to the final project Very useful for my job, excellent as a foundational course in regression Good, detailed course on linear regression and how to perform statistic inference on the coefficients.

Good final project.

Very interesting to see other people's results from the final project.

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).

In conclusion, clear teaching, helpful project, and knowledgeable classmates that I can learn from through final project.

I really loved working on weekly labs and a final project.

I feel that my analyst skills have greatly improved as a result of understanding and applying the ideas through the quizzes and final project.

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

The final project was certainly time-consuming and challenging, but extremely worth it to integrate the material well.

I still greatly appreciate how final projects are constructed that gives us freedom to choose our approach to the problems within the data set.

However, we were extraordinarily unprepared for the final project.

Nice introduction to linear modelling!

Good practical introduction to linear regression modelling.

A well designed course and the explanation are very easy to understand Great contents and great teacher.

Quite systematic and easy to understand.

I learn a lot with the model we have to find and it is very interesting to note other students.

Very interesting, well taught.

, 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.

thank you i learned a lot informative The key concepts of linear regression are explain really well, without heavy mathematical explanation, that is good, because the main concepts are what it important.The project at the end of the course is REALLY good, you can learn a lot from the analysis and investigation you need to do on it, it took me around 30 hours to really understand and complete (a full time job of 1 week), which is really nice.I give 4 stars to the course, because they don't dig very much in variables selection, specially with categorical variables, with are the ones i had an hard time during the project.

Note: It was hard, because it was difficult, but in the process i learnt a lot of things investigating.Besides this point, the course is really good to say: "I know the basics of linear regression, I know how to handle it in R", the topic of "Linear Regression and Modeling" is of course much, much more larger than what can be explained in 1 course.

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 really good course, it will be better if added more R programming learning in the videos

Wish it was longer and more mathematical, but there are other courses on Coursera for that.

Contents are easier compared with other courses in this series.

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

This course was exactly what I needed for a project involving logistic regression.

For example, I expected logistic regression to be covered.