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

4.7
stars
1,527 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

NK

May 5, 2025

GOod start to someone who has never used R or any statistical programming before. I've good understanding of stats butdid not learn R and this gives me enough confidence to do my analyses

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.

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176 - 200 of 297 Reviews for Introduction to Statistics & Data Analysis in Public Health

By Yan M

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Jan 4, 2021

Very clear! Highly recommend this one!

By AGGREY G O

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Jul 17, 2020

Highly educative with relevant content

By Thomas J H

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Mar 31, 2019

Clear and no nonsense. Do recommend.

By Shaibu I

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Apr 8, 2020

Fantastic course and lecturer, kudos

By Jos茅 脕 J R

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Aug 5, 2024

Very useful introduction to RStudio

By Alhel铆 L B A

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Jan 23, 2024

SENSACIONAL, NO SE VAN A ARREPENTIR

By Benedict S

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Jan 31, 2021

Was truly an up skill. well thought

By Juliana P R

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Oct 19, 2020

I've learnt a lot with this course!

By Sara A

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Apr 1, 2020

Very useful introductory course.

By Angelo A P L

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Aug 25, 2020

Excellent course, good content.

By Rahim H

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May 6, 2019

I very much enjoyed the course!

By yvone j

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Mar 27, 2019

very friendly for new beginners

By Deleted A

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May 12, 2020

Wonderful course for beginners

By DR R D

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Jun 20, 2019

excellent course for beginners

By Ivana G S

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Jun 28, 2020

Clear explanations, fun tests

By Emami A P

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Jul 19, 2020

i really enjoyed this course

By GURAVAIAH T

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Aug 28, 2025

good course thanking you

By Qu Y

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Sep 5, 2022

great course for beginner

By Mauricio Z

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May 14, 2020

Really interesting course

By Lawrence L

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Feb 9, 2020

Fun, fast paced, applied.

By Sehar A

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Aug 15, 2020

Very well planned course

By Yasna P S

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Mar 5, 2020

Good introductory course

By Kaoma M M

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Mar 12, 2020

Current and applicable

By Ahmed A M E

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Mar 4, 2023

Really helpful course

By Tawsib A L

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Sep 29, 2020

very effective course