Chevron Left
返回到 Introduction to Statistics & Data Analysis in Public Health

学生对 伦敦帝国学院 提供的 Introduction to Statistics & Data Analysis in Public Health 的评价和反馈

1,210 个评分


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....



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


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.


151 - Introduction to Statistics & Data Analysis in Public Health 的 175 个评论(共 242 个)

创建者 Angelo A P L

Aug 24, 2020

Excellent course, good content.

创建者 Rahim H

May 6, 2019

I very much enjoyed the course!

创建者 Yifan Z

Mar 27, 2019

very friendly for new beginners

创建者 Deleted A

May 12, 2020

Wonderful course for beginners

创建者 R D

Jun 19, 2019

excellent course for beginners

创建者 Ivana G

Jun 28, 2020

Clear explanations, fun tests

创建者 Emami A P

Jul 19, 2020

i really enjoyed this course

创建者 Mauricio F Z M

May 13, 2020

Really interesting course

创建者 Lawrence L

Feb 8, 2020

Fun, fast paced, applied.

创建者 Sehar A

Aug 15, 2020

Very well planned course

创建者 Yasna P S

Mar 4, 2020

Good introductory course

创建者 Kaoma M M

Mar 12, 2020

Current and applicable

创建者 Tawsib A L

Sep 28, 2020

very effective course

创建者 Enrique D O

Mar 31, 2019

I highly recommend it

创建者 Piamaria N

Mar 15, 2020

course presentation.

创建者 Liz M

Mar 25, 2020

Great use of time!

创建者 Max G

Jan 19, 2020

It was fun & easy

创建者 Jeffrey Y

Jan 18, 2022

Excellent course

创建者 Muhammad N

Jun 1, 2021

very informative

创建者 Md. A S

Jul 29, 2020

Excellent Course


May 26, 2021

g​reat course .

创建者 laiba y

Jan 23, 2022

amazing course

创建者 Arnab M

May 27, 2021

Great course !

创建者 Tamal K

May 8, 2020

perfect course


Jun 25, 2021

Good practice