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Learner Reviews & Feedback for Linear Regression in R for Public Health by Imperial College London

4.8
stars
493 ratings

About the Course

Welcome to Linear Regression in R for Public Health! Public Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. This requires the development of statistical models that describe how patient and environmental factors affect our chances of getting ill. This course will show you how to create such models from scratch, beginning with introducing you to the concept of correlation and linear regression before walking you through importing and examining your data, and then showing you how to fit models. Using the example of respiratory disease, these models will describe how patient and other factors affect outcomes such as lung function. Linear regression is one of a family of regression models, and the other courses in this series will cover two further members. Regression models have many things in common with each other, though the mathematical details differ. This course will show you how to prepare the data, assess how well the model fits the data, and test its underlying assumptions – vital tasks with any type of regression. You will use the free and versatile software package R, used by statisticians and data scientists in academia, governments and industry worldwide....

Top reviews

WB

May 8, 2023

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

AO

Sep 11, 2023

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!

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76 - 100 of 107 Reviews for Linear Regression in R for Public Health

By MOHAMMED S

Aug 17, 2022

This course is good value for money

By Noel J

Jul 10, 2020

Amazing teaching,Best course.Kudos

By Tanvir A

Oct 23, 2021

very engaging & student friendly.

By neil p

Jan 7, 2020

Charming and really fun at 2x

By mazen j

Nov 21, 2020

Best teaching team online

By Josef N

Jun 30, 2020

Superb explanations!

By Mohammed a e

Apr 28, 2020

Excellent experience

By Hamza M

Oct 25, 2020

Exceptional course

By Dr. M

May 16, 2020

Excellent course!!

By Enrique D O

May 20, 2019

HIghly recommended

By Jin C

Jul 8, 2020

best lecture ever

By Darija K

Feb 5, 2020

Excellent course.

By Anderson S

Jun 7, 2019

Excellent course

By Juan C M G

Mar 19, 2021

Great course!

By Yasna P S

Mar 4, 2020

Good course

By hippo d

May 8, 2021

Thank you.

By Jeshua R G

Mar 6, 2020

Excellent

By Henrique A

Apr 13, 2019

Excelente

By Tiar S F

May 15, 2021

it's fun

By Shakil A S

Feb 16, 2021

amazing!

By Abdessamad B

May 7, 2020

perfect

By RAGHUVEER S D

Jul 25, 2020

good

By Eleftheria K

Apr 24, 2020

The instructor was wonderful. Both the videos and the exercises were very hepful for understanding linear regression. The feedback was also incredibly valuable and helped us understand possible mistakes. I didn't rate the course with four stars because of some mistakes in the videos (for example when we discuss interaction the formula with the interaction term appears both in the beginning and afterwards) as well as in a question in the final test. They might seem like details but for a beginner it causes a bit of confusion and an unnecessary loss of time. Other than that, the course is very good.

By Pippa D

Sep 9, 2020

Helpful and engaging. I did have to occasionally seek extra explanations elsewhere to supplement what is covered in the course - eg it doesn't explain all the information given in the R results for a linear regression. But well worth doing.

By Vijay B

Jan 19, 2020

Great way to start modelling using R. Course instructor is good. The concepts are well introduced and put into practice with R. Finally, to get a hang of the whole thing, you need a lot of practice!