Chevron Left
Zurück zu Introduction to Statistics & Data Analysis in Public Health

Bewertung und Feedback des Lernenden für Introduction to Statistics & Data Analysis in Public Health von Imperial College London

4.7
Sterne
1,281 Bewertungen

Über den Kurs

Welcome to Introduction to Statistics & Data Analysis in Public Health! This course will teach you the core building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but, more than that, it will enable you to take a data set you've never seen before, describe its keys features, get to know its strengths and quirks, run some vital basic analyses and then formulate and test hypotheses based on means and proportions. You'll then have a solid grounding to move on to more sophisticated analysis and take the other courses in the series. You'll learn the popular, flexible and completely free software R, used by statistics and machine learning practitioners everywhere. It's hands-on, so you'll first learn about how to phrase a testable hypothesis via examples of medical research as reported by the media. Then you'll work through a data set on fruit and vegetable eating habits: data that are realistically messy, because that's what public health data sets are like in reality. There will be mini-quizzes with feedback along the way to check your understanding. The course will sharpen your ability to think critically and not take things for granted: in this age of uncontrolled algorithms and fake news, these skills are more important than ever. Prerequisites Some formulae are given to aid understanding, but this is not one of those courses where you need a mathematics degree to follow it. You will need only basic numeracy (for example, we will not use calculus) and familiarity with graphical and tabular ways of presenting results. No knowledge of R or programming is assumed....

Top-Bewertungen

SK

11. Okt. 2019

This is the best course among all I've taken..

The instructor has presented the content precisely.

I highly recommend to those who are looking to explore R in the field of health

LA

25. Mai 2019

Was a very nicely done and clear course to build or re-build foundation for most common statistical concepts and an intro to using R via R-Studio for your work with them on the basics.

Filtern nach:

101 - 125 von 252 Bewertungen für Introduction to Statistics & Data Analysis in Public Health

von MD E P

11. Feb. 2021

von Nirajan B

9. Mai 2020

von Miguel Á G W

15. Jan. 2021

von MARIELA I P M

11. Okt. 2022

von MS.SHWETA G

4. Dez. 2020

von LIANG Y

13. Aug. 2020

von Dibbya P D

18. Dez. 2021

von Nimmi P

22. Juli 2019

von Sava H

24. Aug. 2022

von RANJEET S M

22. Apr. 2020

von nicole d

1. Nov. 2020

von Rodrigo G M

30. Sep. 2020

von ALIA B A A

4. Aug. 2021

von Fjorida L

24. Mai 2020

von yi j

2. Feb. 2020

von Chutong D

8. Apr. 2022

von Enyerbert G

15. Mai 2021

von harshal D

30. Mai 2019

von Faye

24. Feb. 2021

von Christina M

13. Dez. 2020

von Peter H

16. Okt. 2020

von Alexander A

4. Mai 2020

von Elisa D R

19. Sep. 2022

von Idowu O O

14. Okt. 2021

von Tanvir A

28. Juli 2021