Chevron Left
Voltar para Introduction to Statistics & Data Analysis in Public Health

Comentários e feedback de alunos de Introduction to Statistics & Data Analysis in Public Health da instituição Imperial College London

4.7
estrelas
1,278 classificações

Sobre o curso

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....

Melhores avaliações

SK

11 de out de 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 de mai de 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.

Filtrar por:

1 — 25 de 251 Avaliações para o Introduction to Statistics & Data Analysis in Public Health

por Georgy M

8 de jun de 2019

por SALVATORE D G

12 de jun de 2020

por Fatemeh

1 de abr de 2020

por Lindsy R

10 de dez de 2019

por Dwayne R T

5 de jan de 2021

por Sandeep K

12 de out de 2019

por Indhu R

16 de mai de 2019

por Vishakh U

22 de set de 2019

por Han C

5 de dez de 2019

por Liva A

26 de mai de 2019

por Sajith S

15 de mar de 2020

por Rashidul H

5 de mai de 2019

por Shubham J S

26 de jun de 2019

por Dean P

7 de jul de 2019

por Luis A M G

1 de set de 2019

por Ikenna M

29 de dez de 2019

por Neelam I

29 de set de 2019

por Rebecca E

14 de ago de 2020

por Anusha B

16 de mar de 2020

por Pippa D

2 de set de 2020

por Pau G

17 de fev de 2020

por Sergio P

14 de set de 2019

por Jeba M

19 de jul de 2019

por Seungyeon J

7 de out de 2019

por Jose L V V

30 de ago de 2019