Chevron Left
Back to Introduction to Statistics & Data Analysis in Public Health

Learner Reviews & Feedback for Introduction to Statistics & Data Analysis in Public Health by Imperial College London

4.7
stars
1,227 ratings

About the Course

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 reviews

SK

Oct 11, 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

May 25, 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.

Filter by:

1 - 25 of 247 Reviews for Introduction to Statistics & Data Analysis in Public Health

By Georgy M

Jun 8, 2019

By SALVATORE D G

Jun 12, 2020

By Fatemeh

Apr 1, 2020

By Lindsy R

Dec 10, 2019

By Dwayne R T

Jan 5, 2021

By Indhu R

May 16, 2019

By Vishakh U

Sep 22, 2019

By Han C

Dec 5, 2019

By Liva A

May 26, 2019

By Sandeep K

Oct 12, 2019

By Sajith S

Mar 15, 2020

By Rashidul H

May 5, 2019

By Shubham J S

Jun 26, 2019

By Dean P

Jul 7, 2019

By Luis A M G

Sep 1, 2019

By Ikenna M

Dec 29, 2019

By Neelam I

Sep 29, 2019

By Rebecca E

Aug 14, 2020

By Anusha B

Mar 16, 2020

By Pippa D

Sep 2, 2020

By Pau G

Feb 17, 2020

By Sergio P

Sep 14, 2019

By Jeba M

Jul 19, 2019

By Seungyeon J

Oct 7, 2019

By Jose L V V

Aug 30, 2019