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

4.8
stars
511 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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51 - 75 of 110 Reviews for Linear Regression in R for Public Health

By Muhammad N

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Jun 22, 2021

Too much informative course thanks coursera for such an amazing opportunity

By Marcos d S M

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Nov 24, 2021

Great course. Thank you Prof. Alex Bottle and Prof. Victoria Cornelius!

By Vivekananda D

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Jun 21, 2019

Perhaps, the best linear regression course available online! Great job!

By Anthony C

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Mar 10, 2024

Slight complicated for me as a novice for R, but I end up complete it

By Shubham J S

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May 1, 2020

This course is very helpful in learning and development of new skills

By Simon V

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Aug 19, 2020

Very good for understanding how to use R and manage your data better

By OSCAR G R

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Oct 18, 2023

Excellent course, both in the structure and in the way of teaching

By Ioannis K

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Sep 16, 2020

Excellent in every way, this is how statistics should be taught!

By yi j

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Feb 2, 2020

Very practical and explicit course about linear regression.

By Emmanuel R S

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Mar 4, 2023

I extremely recommend this course, I learnt a lot! thanks!

By Rahim H

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May 22, 2019

Amazing course, it has been great revision for me with OLS

By Seungyeon J

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Jan 11, 2020

I highly recommend this course. The lecture is so good.

By Vel T

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Aug 27, 2023

Great introduction to linear regression and modeling.

By Lucy M

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Jun 14, 2020

Really informative course that was easy to follow !

By Hernan P

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Jan 1, 2022

Excellent for those seeking for training hours.

By Kathy V

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Aug 30, 2020

Wonderfully fulfilling and valuable to my work.

By Lau C C

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Jan 25, 2022

Great course, well planned syllabus, wonderful

By Mostafizer R

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Jul 7, 2020

this is really good course for publice health

By Carya M

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Jan 7, 2024

Very good and practical introductory course.

By Thomas J H

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Mar 31, 2019

Excellent. Clear, succinct. Good examples.

By Doruk C K

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Dec 5, 2020

Wonderful course! Definitely recommended!!!

By Irwing S S

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Sep 19, 2023

Buenísimo. Información justa y necesaria.

By Nimmi M

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Jul 29, 2019

good one for model building in any stream

By Vance V

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May 7, 2020

Great introduction to regression with R

By Wael M O

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Mar 13, 2022

Excellent course, excellent Porfessor.