Chevron Left
Retour à Introduction to Statistics & Data Analysis in Public Health

Avis et commentaires pour d'étudiants pour Introduction to Statistics & Data Analysis in Public Health par Imperial College London

1,280 évaluations

À propos du cours

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....

Meilleurs avis


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.


11 oct. 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

Filtrer par :

1 - 25 sur 252 Avis pour Introduction to Statistics & Data Analysis in Public Health

par Georgy M

8 juin 2019


12 juin 2020

par Fatemeh

1 avr. 2020

par Lindsy R

10 déc. 2019

par Dwayne R T

5 janv. 2021

par Sandeep K

12 oct. 2019

par Indhu R

16 mai 2019

par Vishakh U

22 sept. 2019

par Han C

5 déc. 2019

par Liva A

26 mai 2019

par Sajith S

15 mars 2020

par Rashidul H

5 mai 2019

par Shubham J S

26 juin 2019

par Dean P

7 juil. 2019

par Luis A M G

1 sept. 2019

par Ikenna M

29 déc. 2019

par Neelam I

29 sept. 2019

par Rebecca E

14 août 2020

par Anusha B

16 mars 2020

par Pippa D

2 sept. 2020

par Pau G

17 févr. 2020

par Sergio P

14 sept. 2019

par Jeba M

19 juil. 2019

par Seungyeon J

7 oct. 2019

par Jose L V V

30 août 2019