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

4.7
stars
1,414 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

SK

Oct 11, 2019

This is the best course among all I've taken..

The instructor has presented the content precisely.

I highly recommend to those who are looking to explore R in the field of health

LA

May 25, 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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126 - 150 of 276 Reviews for Introduction to Statistics & Data Analysis in Public Health

By ALIA B A A

Aug 4, 2021

Easy to follow and a good refresher since I have some background

By Fjorida L

May 24, 2020

The instructions and explanations from Prof Alex were excellent.

By yi j

Feb 2, 2020

Very practical and explicit course about basic statistics and R.

By Chutong D

Apr 8, 2022

Such a good introductory course to statistics in public health!

By Enyerbert G

May 15, 2021

This course is perfect to all that have a public health degree

By harshal D

May 30, 2019

I learned a lot about statistical analysis through this course

By Carya M

Dec 30, 2023

Practical course for beginners, not very in-depth but useful.

By Faye

Feb 24, 2021

All the Tests are very interesting and worth to have a try!

By Christina M

Dec 13, 2020

an excellent specialiaztion in statistics and Data analysis

By Peter H

Oct 16, 2020

Basic knowledge in R and statistics are clearly explained.

By Alexander A

May 4, 2020

excellent introduction, great value. practical instruction

By Elisa D R

Sep 19, 2022

Great course to start with R and review basic statistics

By Idowu O O

Oct 14, 2021

This was a well-detailed course and the tutor made it fun

By Tanvir A

Jul 28, 2021

Enjoyable & precise. Thanks to the instructor & coursera.

By Damian B

Sep 21, 2019

Great course, high production quality, good presentation

By Sintip P

Oct 3, 2022

A great way to start learning medical statistics and R

By Javier S M T

Apr 5, 2020

Very useful and interesting introduction to R and Stats

By Joel S M

Aug 3, 2020

Amazing introductory course !!! totally recommended !!

By Muhire I

May 23, 2019

Great presentation and relevant materials for studying

By Farhad G

Dec 2, 2022

I recommend it to everyone interested in the subject.

By Andrew K

Nov 27, 2020

Very easy and clear to understand. I highly recommend

By Romina A J B

Aug 20, 2019

Aprendí mucho con una metodología bastante didáctica.

By Marcos d S M

Nov 20, 2021

Good introduction to Data Analysis in Public Health

By Muhammad A A

Mar 31, 2021

A great course with a lot of examples for practicing

By Alia G

Sep 14, 2020

Хорошие основы, многое сложилось в цельную картинку