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
1,549 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

RC

Jun 10, 2020

Excellent introductory course on statistics and its facts. It helps to assess several testings based on different data types and interpreting values using R programming.

WB

May 9, 2023

The Journey was excellent. I have learned a lot from this course. I will suggest the course to everyone interested. I will you will have a great learning. Happy Learning...

Filter by:

201 - 225 of 300 Reviews for Introduction to Statistics & Data Analysis in Public Health

By Ahmed A M E

•

Mar 4, 2023

Really helpful course

By Tawsib A L

•

Sep 29, 2020

very effective course

By Enrique D O

•

Mar 31, 2019

I highly recommend it

By Piamaria N

•

Mar 16, 2020

course presentation.

By Dr. A M

•

Jan 15, 2023

GOOD FOR BEGINNERS

By Liz M

•

Mar 26, 2020

Great use of time!

By Max G

•

Jan 20, 2020

It was fun & easy

By amani t

•

Oct 8, 2023

excellent course

By Talent M

•

Apr 8, 2023

Very Beneficial!

By Jeffrey Y

•

Jan 19, 2022

Excellent course

By Muhammad N

•

Jun 1, 2021

very informative

By Md. A S

•

Jul 29, 2020

Excellent Course

By SANAL J

•

May 27, 2021

great course .

By Faiza M

•

Jan 15, 2025

amazing course

By laiba y

•

Jan 24, 2022

amazing course

By Arnab M

•

May 27, 2021

Great course !

By Tamal k

•

May 9, 2020

perfect course

By BOUBACAR T

•

Jun 26, 2021

Good practice

By DIANA S A

•

Oct 25, 2021

GoogGoodGood

By CECIL K M A

•

Jan 13, 2021

great useful

By Ruaan O C

•

Jul 1, 2020

It's perfect

By Jesús G H P

•

Jun 30, 2020

amazing!!!!

By Anup K

•

Sep 7, 2019

Good Course

By ONUOHA C A

•

Jun 24, 2019

Outstanding