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

4.8
stars
494 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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101 - 107 of 107 Reviews for Linear Regression in R for Public Health

By Rupok C

•

Jun 20, 2020

Nice course for the beginner who is pursuing health research and its multivariate analysis. It would be better if it is provided more elaborately in video lectures.

By Julie N

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Jun 8, 2020

Excellent course! I liked the guided activities however there were some do-it-yourself activities that were required before learning of the necessary code.

By Saint L

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Apr 21, 2020

Thanks to all the staff at ICL.

By Eri T

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Dec 11, 2021

Too easy

By Albert N

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Nov 19, 2021

I e is

By Harini K

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Oct 22, 2020

The feedback and explanations within the course are not as good for this one versus the feedback in the first course of the specialization. Additionally, the example used for the course should be better explained before usage of the model repeatedly in the course. Oh and some of the code has errors in this course and the final class code is not great in this one. It doesn't help me understand the errors when I go back for feedback/assistance. Being an online course with limited interaction, waiting for someone to respond to a question in the forum requires too much time.

By Jean-Philippe M

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Jan 1, 2021

Overall the course was interesting and informative. i whished that more practical exercises (or labs) in r would have been provided.