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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.


176 - Introduction to Statistics & Data Analysis in Public Health 的 200 个评论(共 242 个)


Oct 25, 2021



Jan 12, 2021

great useful

创建者 Ruaan O C

Jun 30, 2020

It's perfect

创建者 Jesús G H P

Jun 29, 2020


创建者 Mohammed a e

Mar 17, 2020


创建者 Anup K

Sep 7, 2019

Good Course


Jun 24, 2019


创建者 Ignacio E F

Oct 29, 2020

Muy bueno!

创建者 Eddy A S M

Jun 3, 2019


创建者 Albert N

Oct 20, 2021

V d and u

创建者 Wentao ( Y

Dec 11, 2020


创建者 Luis S

Nov 17, 2020


创建者 Jesús A O D

Apr 5, 2020


创建者 Jeshua R G

Mar 6, 2020


创建者 Shakil A S

Feb 16, 2021


创建者 Lida M

Nov 11, 2019


创建者 Kim S J

Jul 9, 2020



Oct 25, 2021


创建者 Trushal K

Jul 21, 2021


创建者 Muhammad K u R

Jun 18, 2022

创建者 Tanvia Z

Jul 14, 2021

创建者 pablo p

Feb 23, 2021


创建者 fabien M

Apr 10, 2020

I enjoyed the course.

I noticed a strong acceleration from week 2 to week 3, and in some case, it may be difficult for non native English speaker to answer correctly to the question (as it is formulated), event with years experience of high level business english (including in legal/contract analysis).

The course covers many aspects, but one may have to wait a little for some parts to be clarified (you may experience a lot of questions before getting the answer some lectures after

创建者 Camila E R

Feb 2, 2021

It was wonderful! I just would like to have a section where to ask for questions to be answered by the teachers, because the foruns sometimes made me more confuse and unconfident...

At the end of the course, I still don’t know:

- How to discover in R that BMI is higher in men

- What to do with variables with many missing values

Thank you for the course. I will keep doing the other courses...

创建者 Khan S I

Jan 30, 2021

Overall the course has been satisfacory and helped in learning and refining the key statistical concepts in Public Health. It could be more helpful if videas were a bit longer and a bit more elaborative, as sometimes it became tough having a clarity on given topics and those times had to resort to google searches or youtube videos on the given topic.