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學生對 伦敦帝国学院 提供的 Introduction to Statistics & Data Analysis in Public Health 的評價和反饋

4.7
1,210 個評分

課程概述

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....

熱門審閱

SK

2019年10月11日

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

2019年5月25日

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.

篩選依據:

176 - Introduction to Statistics & Data Analysis in Public Health 的 200 個評論(共 242 個)

創建者 DIANA S A

2021年10月25日

GoogGoodGood

創建者 CECIL K M A

2021年1月12日

great useful

創建者 Ruaan O C

2020年6月30日

It's perfect

創建者 Jesús G H P

2020年6月29日

amazing!!!!

創建者 Mohammed a e

2020年3月17日

fascinating

創建者 Anup K

2019年9月7日

Good Course

創建者 ONUOHA C A

2019年6月24日

Outstanding

創建者 Ignacio E F

2020年10月29日

Muy bueno!

創建者 Eddy A S M

2019年6月3日

Excelente!

創建者 Albert N

2021年10月20日

V d and u

創建者 Wentao ( Y

2020年12月11日

great!!!!

創建者 Luis S

2020年11月17日

Excellent

創建者 Jesús A O D

2020年4月5日

Ecxellent

創建者 Jeshua R G

2020年3月6日

Excellent

創建者 Shakil A S

2021年2月16日

amazing!

創建者 Lida M

2019年11月11日

Thanks.

創建者 Kim S J

2020年7月9日

Good!!

創建者 JANAKI K

2021年10月25日

good

創建者 Trushal K

2021年7月21日

Good

創建者 Muhammad K u R

2022年6月18日

創建者 Tanvia Z

2021年7月14日

創建者 pablo p

2021年2月23日

.

創建者 fabien M

2020年4月10日

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

創建者 Camila E R

2021年2月2日

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...

創建者 Khan S I

2021年1月30日

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.