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Linear Regression in R for Public Health

This course is a part of Statistical Analysis with R for Public Health, a 4-course Specialization series from Coursera.

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.

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Imperial College London

Rating 5.0 based on 8 ratings
Length 5 weeks
Effort 4 weeks of study 3-5 hours per week
Starts Jul 6 (last week)
Cost $49
From Imperial College London via Coursera
Instructors Alex Bottle, Victoria Cornelius
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Mathematics
Tags Life Sciences Data Science Probability And Statistics Public Health

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my only difficulty in one review

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.

best linear regression in one review

DO IT The end Perhaps, the best linear regression course available online!

conceptual rather than in one review

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.

excellent coursera content in one review

Excellent course An excellent Coursera content provided from such a renowned faculty with so much organized and systematic instructions.

extra browny points in one review

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.

know whether or in one review

In summary if you are reading this chances are you want to know whether or not to do this course.

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Coursera

&

Imperial College London

Rating 5.0 based on 8 ratings
Length 5 weeks
Effort 4 weeks of study 3-5 hours per week
Starts Jul 6 (last week)
Cost $49
From Imperial College London via Coursera
Instructors Alex Bottle, Victoria Cornelius
Download Videos On all desktop and mobile devices
Language English
Subjects Science Data Science Mathematics
Tags Life Sciences Data Science Probability And Statistics Public Health

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