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

4.7
stars
1,538 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

HC

Apr 4, 2021

This is a great introductory course to statistics. It's very clear, logical, and the progression of topics it's perfectly accompanied by examples and practical exercises.

PD

Sep 1, 2020

An enjoyable course in Stats for complete beginners. It is a good mix of videos, exercises and quizes that kept my interest up. I shall go on to the next module in this course.

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176 - 200 of 299 Reviews for Introduction to Statistics & Data Analysis in Public Health

By AmanySamirMohamed A

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Oct 30, 2021

more helpful and add new skills to me

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 16, 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 José Á J R

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Aug 5, 2024

Very useful introduction to RStudio

By Alhelí L B A

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Jan 23, 2024

SENSACIONAL, NO SE VAN A ARREPENTIR

By Benedict S

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Jan 30, 2021

Was truly an up skill. well thought

By Juliana P R

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Oct 18, 2020

I've learnt a lot with this course!

By Sara A

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Mar 31, 2020

Very useful introductory course.

By Angelo A P L

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Aug 24, 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 19, 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 27, 2025

good course thanking you

By Qu Y

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Sep 4, 2022

great course for beginner

By Mauricio Z

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May 13, 2020

Really interesting course

By Lawrence L

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Feb 8, 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 4, 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