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.
교육 기관: Albert H•
It's a nice overview of linear regression but I feel like there needs to be more time spent on model selection processes, collinearity/confounding/intermediate variables, and interaction terms. It's super important for accurate model building for research purposes.
교육 기관: Aaradhya G•
Again, Dr. Mine Cetinkaya Rundel is amazing. However, linear regression is a vast topic, and maybe another week could have been better. But nonetheless, the concepts explained herein are crystal clear, succinct, and taught in an engaging manner.
교육 기관: Sean T•
Really enjoyed this course! It teaches you the theory you need to understand how a linear regression model works, how to check that your model fulfils certain conditions so that it is valid, and how to build and implement your model in practice!
교육 기관: Richard N B A•
Great introduction to linear regression. Nice, clean R tutorials via the labs. The lectures do become a little monotonous, but there there are linked readings in a nice, open-source textbook if reading suits you better than listening.
교육 기관: Tomasz J•
Very good and gentle introduction to linear regression. The final assignment however uses dataset which is very risky to use with linear regression (not all conditions were met in all the assignments I rated!). This is confusing.
교육 기관: Aditya V•
A great course on regression. Though some topics weren't taught in the lecture but they can be easily covered using the links provided in the course. Additionally, a more detailed lecture on diagnostics plot can be useful.
교육 기관: Amara Z•
A very practical course with hands on sessions in regression. I loved the final project which actually helped me to apply everything that I learnt during the 4 week period and hence cleared so many doubts I had in mind.
교육 기관: Jennifer g e•
i would like it very much if the course had more auxiliar videos about R code, because is maybe the most dificult thing to follow on the course. In general the course is amazing, very well explained, i learned a lot.
교육 기관: Duane S•
This course provides a very good introduction to basic linear regression, including simple multiple linear regression, model building and interpretation, model diagnostics, and application in R.
교육 기관: Erik B•
Good, but a little "smaller" than the Inferential statistics course (which is very complete). I would have liked to also learn Logistics regression, which I now have to learn elsewhere.
교육 기관: Allah D N•
Files for this course were broken and I faced a lot of trouble to find good one. This course may be made more comprehensive and not assuming that reader have also understanding.
교육 기관: Roel M•
A nice experience, clear explanations, lots of exercises that are really important. The project also allowed one to reflect carefully on how to use R to carry out the analysis.
교육 기관: Charles G•
Good but I felt some gaps in the material made it difficult to learn. Also, the quiz questions are focused on attention to detail "gotcha" questions. This can be frustrating.
교육 기관: Aydar A•
Nice course. The downside is that it only explains interpretation of linear regression, but not enough details about how linear regression is performed from math point of view.
교육 기관: Jessye M•
This course was good. However, compared to the other courses in the specialisation had less content. I would have liked to have videos on logistic regression as well.
교육 기관: 冯允鹏•
Compared to the Course 2 Statistic inference, this session seems to be a little be informal and rush. But still learn a lot from the conception of linear regression!
교육 기관: christian a•
Really good course as the previous ones in this specialization. Could have included something more on checking for collinearity with categorical variables.
교육 기관: Dgo D•
It was a really good introduction to Linear Model, I recommend this course to all people who wants to learn more about statistical analysis
교육 기관: Ana C•
Excellent Course. Mine, the teacher is a great great teacher. The mentors help a lot.
Technical parts, coursera platform should work better
교육 기관: Janice H•
Lecture explanations are fantastic as are slides. Pace is appropriate. R information is a little sketchy but manageable with diligence.
교육 기관: Nathan H•
Very informative for an introduction. Wish it was longer and more mathematical, but there are other courses on Coursera for that.
교육 기관: Tony G•
Good overview of regression modeling. Would have liked to see more on logistic regression. But that's ok, can read it on my own.
교육 기관: Scott T•
Great course. I only wish there was more time spent on dealing with more complex situations such as overfitting.
교육 기관: Shivani J•
I liked the course. I learnt a lot while working on its project. Instructor's way of teaching is very engaging.
교육 기관: Elham L•
The material in this course is explained very well. However it requires one has the knowledge in using R.