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Opiniones y comentarios de aprendices correspondientes a Linear Regression in R for Public Health por parte de Imperial College London

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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....

Principales reseñas

MK

3 de abr. de 2020

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.

PG

1 de feb. de 2021

This was a wonderful course, for many reasons, the best of which was I felt as if I was finally getting into a real-world data analysis situation. I recommend it highly.

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51 - 75 de 93 revisiones para Linear Regression in R for Public Health

por Lucy M

14 de jun. de 2020

Really informative course that was easy to follow !

por Hernan P

1 de ene. de 2022

Excellent for those seeking for training hours.

por Kathy V

30 de ago. de 2020

Wonderfully fulfilling and valuable to my work.

por Lau C C

25 de ene. de 2022

Great course, well planned syllabus, wonderful

por Mostafizer R

7 de jul. de 2020

this is really good course for publice health

por Thomas J H

31 de mar. de 2019

Excellent. Clear, succinct. Good examples.

por Doruk C K

5 de dic. de 2020

Wonderful course! Definitely recommended!!!

por Nimmi M

29 de jul. de 2019

good one for model building in any stream

por Vance V

7 de may. de 2020

Great introduction to regression with R

por Wael M O

13 de mar. de 2022

Excellent course, excellent Porfessor.

por Jesús A O D

4 de abr. de 2020

excellent course, thank you very much

por Mohammed S A

17 de ago. de 2022

This course is good value for money

por Noel J

10 de jul. de 2020

Amazing teaching,Best course.Kudos

por Tanvir A

23 de oct. de 2021

very engaging & student friendly.

por neil p

7 de ene. de 2020

Charming and really fun at 2x

por mazen j

21 de nov. de 2020

Best teaching team online

por Josef N

30 de jun. de 2020

Superb explanations!

por Mohammed a e

28 de abr. de 2020

Excellent experience

por Hamza M

25 de oct. de 2020

Exceptional course

por Dr. M

16 de may. de 2020

Excellent course!!

por Enrique D O

20 de may. de 2019

HIghly recommended

por Jin C

8 de jul. de 2020

best lecture ever

por Darija K

5 de feb. de 2020

Excellent course.

por Anderson S

7 de jun. de 2019

Excellent course

por Juan C M G

19 de mar. de 2021

Great course!