Wonderful course. Anyone with any background can attend this course. The general idea of regression you will get from here can be applied in any academic domain.

This course is excellent- if you want a solid understanding of the basics, this is as good as it gets. I would say it is most suited for somebody who wants a more conceptual rather than mathematical understanding of the subject, but its still has a good balance between the both approaches. The videos are very well presented, the lecturer is very professional and has clear and engaging style [not like most stats teachers ;) ]. My only difficulty was that I am already quite an experienced R user and the coding methods were quite different to my style, that's not a criticism really as there are numerous ways to remove the outer layer of a feline, as they say. There a decent number of typos and I was a little frustrated with some of the answers to the questions being wrong (I was convinced on a couple of occasions that I had it right and they didn't). I'm not the expert so they were almost certainly right it's just the explanation to the answer didn't really help me understand. Also for extra browny points it would great if the R code was formatted in a codey way in the reading lesson- like in stackoverflow. It kind of gets lost in the text. In summary if you are reading this chances are you want to know whether or not to do this course. DO IT The end

An excellent Coursera content provided from such a renowned faculty with so much organized and systematic instructions. I truly enjoyed the whole course to learn the concept and had ample opportunity with tasks to practice analysis skills with the provided example data. I would really recommend anyone to participate on this course. Best wishes to Imperial faculty for offering such a great course.

The course was really great. The instructor explained the things in a lucid manner. Also the reading materials were great. Thank you so much for this course

With no prior background in programming and computational analysis, I have found this course as best starter to gain fundamental skills that will help me excel in my current field of life sciences. This course will surely help me in writing meta-analysis and doing statistical analysis of my research projects with a little bit guidance from statisticians rather than relying on statisticians to do data analysis part of my research design. Thanks Imperial College London, the instructors and Coursera to bring this brilliant specialization to me.

Excellent course. We get a lot of hands on training in building regression models and crystal clear concepts.

Excellent course, with great classes and a large data set for you to test your computational skills.

Reading materials and practicals are a bit messy. Poorly formatted, lack of logical structure, and low res screenshots of code and R console outputs (some of which code is buggy). Please provide the code that we can actually run, as R or Rmd files. Lack of quality unfortunately is not to professional or academic standard, you would be expected to produce a lot better on the job or for assignments so it's not a good example to set here. I hope the course content for on campus students is better than this. I imagine it is, so it just goes to show this was thrown together without any real care or quality control.

This was a great course! I have been stuck on the analysis of my research data and was looking for some kind of course which can help me develop an intuition how to build models, what makes sense clinically and statistically. This course exceeded my expectations. It provides short videos, helpful readings as well as exercises to implement the presented concepts. It helped me develop a structure how to approach the analysis of a data set and what is the good practice in selecting variables and building your model! The course was not only very informative but also very enjoyable.

As my first formal foray to R, I highly appreciate the hands-on approach of this course. While I have been aware and using linear regression for various research endeavors prior to this course, the material has provided me a more technical perspective on the advantages, assumptions and limitations of this statistical technique. It is extremely difficult to get decent scores in the quiz without actually trying R, so be prepared to devote more time and effort than you normally would in a MOOC.

I really enjoyed this course, which broke down the steps of how to build a multivariable regression model, from examining individual data, exploring its correlations, fitting a linear regression model, coding all of these in R, and even provided tips on how to put all of these together in a research paper. I don't have any delusions of being a data analyst after taking this course, but it gives me the confidence to take on a project and do a decent job of it.

I loved the step-by-step approach and learned a lot in this course! I only wish that activities could be assessed (perhaps by peer review, as I have seen in other courses), so I could know if I am on the right track, or how to troubleshoot certain issues (still struggling with interaction terms...). Otherwise, definitely a great course with great materials teaching very useful skills :)

fantastic!

unlike the previous course from the same specialization which was a little bit fundamental, this course was so comprehensive that everyone can easily learn from basics to advanced levels of regression, along with all mistakes scientists may make when doing a regression thank you so much for the course

Initially I was scared of R programming and statistics because i thought it was for data scientists, but this course was easy to follow and the exercises are rigorous. You come out of this course confident in your analytic skills. Wonderful teachers and thanks for sharing your knowledge.

Interesting and well planned. It follows the path laid down in the previous course, alternating short videos and moments of personal reading and reflection, followed by feedbacks. Plus the chance to see some real data processing, both guided and do-it-yourself. Good!

Excellent course! Very hard in some aspects but very engaging and it provides students with deep knowledge of linear regression, epidemiology with R usage, and biostatistics skills which I consider essential for every Public Health Practitioner today.

This is one of the best courses I have ever taken. Congratulations to the design team and the instructors. The level of this course is excellent and the feedback the instructor provided helped me to go further. I am so happy I took this course.

The course explained the intricacies of Linear Regression very well. esp. the interaction effect and addressing categorial variables and how to select variables, which is often overseen in most content/ courses. Excellent course!

In a matter of days I was able to understand linear regression using R. Great videos and homework assignments that are doable and can be applied directly to own research. This course is a must for any Phd student in healthcare.

This is a fantastic course that does give you a solid R foundation to build on, I am glad I took it and I am looking forward to practice more and sharpen my R skills, I would like to thank everyone who worked on this course!

It was my second course on coursera. It was a great journey with coursera and imperial college london. I loved this course. I have learned so much that I could not even imagine. Thanks instructor

This is is an excellent course! Thank you for providing it to us online, and please, I look forward to have access to more advance courses on statistical analysis for public health from ICL!

This is an excellent course to learn how to think statistically with respect to linear regression. The course covers a lot of materials and equips one to further explore this vast area.

The course is excellent for learning correlation and regression. I have been finding these statistical analysis difficult to understand, until I took this course. Great course!!!

Very helpful in understanding and practising linear regression in R! It truly expanded my knowledge and confidence on this field. So much better than just studying from a book!