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
1,486 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

LA

May 26, 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.

DT

Jan 5, 2021

The instructor videos are amazing- very relatable, applicable, and comprehensible! The principles are simplified as best as possible. This courses also good if you are very new to R.

Filter by:

201 - 225 of 287 Reviews for Introduction to Statistics & Data Analysis in Public Health

By amani t

•

Oct 8, 2023

excellent course

By Talent M

•

Apr 8, 2023

Very Beneficial!

By Jeffrey Y

•

Jan 18, 2022

Excellent course

By Muhammad N

•

Jun 1, 2021

very informative

By Md. A S

•

Jul 29, 2020

Excellent Course

By SANAL J

•

May 26, 2021

great course .

By Faiza M

•

Jan 15, 2025

amazing course

By laiba y

•

Jan 23, 2022

amazing course

By Arnab M

•

May 27, 2021

Great course !

By Tamal k

•

May 8, 2020

perfect course

By BOUBACAR T

•

Jun 25, 2021

Good practice

By DIANA S A

•

Oct 25, 2021

GoogGoodGood

By CECIL K M A

•

Jan 12, 2021

great useful

By Ruaan O C

•

Jun 30, 2020

It's perfect

By Jesús G H P

•

Jun 30, 2020

amazing!!!!

By Mohammed a e

•

Mar 18, 2020

fascinating

By Anup K

•

Sep 7, 2019

Good Course

By ONUOHA C A

•

Jun 24, 2019

Outstanding

By Ignacio F

•

Oct 29, 2020

Muy bueno!

By Eddy A S M

•

Jun 4, 2019

Excelente!

By Yohanna C C R

•

Oct 18, 2024

muy bueno

By Carlos A H L

•

Oct 2, 2024

excelente

By Albert N

•

Oct 20, 2021

V d and u

By Wentao ( Y

•

Dec 11, 2020

great!!!!

By Luis S

•

Nov 17, 2020

Excellent