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Avis et commentaires pour d'étudiants pour Linear Regression in R for Public Health par Imperial College London

4.8
étoiles
418 évaluations
91 avis

À propos du cours

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....

Meilleurs avis

MK

3 avr. 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 févr. 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 sur 91 Avis pour Linear Regression in R for Public Health

par Hernan P

1 janv. 2022

Excellent for those seeking for training hours.

par Kathy V

30 août 2020

Wonderfully fulfilling and valuable to my work.

par Lau C C

25 janv. 2022

Great course, well planned syllabus, wonderful

par Mostafizer R

7 juil. 2020

this is really good course for publice health

par Thomas J H

31 mars 2019

Excellent. Clear, succinct. Good examples.

par Doruk C K

5 déc. 2020

Wonderful course! Definitely recommended!!!

par Nimmi M

29 juil. 2019

good one for model building in any stream

par Vance V

7 mai 2020

Great introduction to regression with R

par Wael M O

13 mars 2022

Excellent course, excellent Porfessor.

par Jesús A O D

4 avr. 2020

excellent course, thank you very much

par Noel J

10 juil. 2020

Amazing teaching,Best course.Kudos

par Tanvir A

23 oct. 2021

very engaging & student friendly.

par neil p

7 janv. 2020

Charming and really fun at 2x

par mazen j

21 nov. 2020

Best teaching team online

par Josef N

30 juin 2020

Superb explanations!

par Mohammed a e

28 avr. 2020

Excellent experience

par Hamza M

25 oct. 2020

Exceptional course

par Dr. M

16 mai 2020

Excellent course!!

par Enrique D O

20 mai 2019

HIghly recommended

par Jin C

8 juil. 2020

best lecture ever

par Darija K

5 févr. 2020

Excellent course.

par Anderson S

7 juin 2019

Excellent course

par Juan C M G

19 mars 2021

Great course!

par Yasna P S

4 mars 2020

Good course

par hippo d

8 mai 2021

Thank you.