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

4.7
stars
1,537 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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151 - 175 of 299 Reviews for Introduction to Statistics & Data Analysis in Public Health

By Javier S M T

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Apr 5, 2020

Very useful and interesting introduction to R and Stats

By Joel S M

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Aug 3, 2020

Amazing introductory course !!! totally recommended !!

By Muhire I

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May 22, 2019

Great presentation and relevant materials for studying

By Farhad G

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Dec 2, 2022

I recommend it to everyone interested in the subject.

By Andrew K

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Nov 27, 2020

Very easy and clear to understand. I highly recommend

By Romina A J B

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Aug 20, 2019

Aprendí mucho con una metodología bastante didáctica.

By Marcos d S M

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Nov 20, 2021

Good introduction to Data Analysis in Public Health

By Muhammad A

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Mar 31, 2021

A great course with a lot of examples for practicing

By Alia G

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Sep 14, 2020

Хорошие основы, многое сложилось в цельную картинку

By JIANG J

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Oct 26, 2020

A truly excellent R course for beginners like me!

By Nathiya N

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Jun 6, 2020

I found the course really interesting and useful.

By bouopda k y

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Sep 30, 2020

très interessant comme cours pour devenir expert

By Marzhan N

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Sep 8, 2020

Thank you for the interesting and useful course!

By alexa v

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Aug 2, 2022

this course was interesting and easy to learn

By Adegorite O D

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Jul 29, 2020

Awesome course for anyone that is interested

By Norberto I T

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Aug 16, 2020

The abililty to use R is very,very useful.

By Nacho O

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Dec 7, 2019

A great introduction, it's worth the time.

By ORIOLOWO T

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Jun 14, 2019

Awesome course and the teaching was superb

By salome a

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May 10, 2019

Excellent introduction to statistics and R

By Anderson S

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Apr 27, 2019

I love the simplicity of the explanations

By Zaithwa M

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Apr 25, 2023

Excellent course with an excellent tutor

By Dhan K B

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Aug 15, 2020

Good course to get into Health analytics

By Rizky M

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Jul 31, 2019

Very helpful, and interesting lecturer !

By Negli R G A

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Sep 30, 2022

Eu gostei e aprendi muito com o curso.

By Tanawin N

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Sep 2, 2019

Great experience through great efforts!