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Introduction to Statistics & Data Analysis in Public Health(으)로 돌아가기

임페리얼 칼리지 런던의 Introduction to Statistics & Data Analysis in Public Health 학습자 리뷰 및 피드백

279개의 평가
60개의 리뷰

강좌 소개

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....

최상위 리뷰


Oct 12, 2019

This is the best course among all I've taken..\n\nThe instructor has presented the content precisely.\n\nI highly recommend to those who are looking to explore R in the field of health


May 26, 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.

필터링 기준:

Introduction to Statistics & Data Analysis in Public Health의 60개 리뷰 중 26~50

교육 기관: yi j

Feb 02, 2020

Very practical and explicit course about basic statistics and R.

교육 기관: harshal D

May 30, 2019

I learned a lot about statistical analysis through this course

교육 기관: Damian B

Sep 21, 2019

Great course, high production quality, good presentation

교육 기관: Muhire I

May 23, 2019

Great presentation and relevant materials for studying

교육 기관: Romina J

Aug 21, 2019

Aprendí mucho con una metodología bastante didáctica.

교육 기관: Ignacio

Dec 07, 2019

A great introduction, it's worth the time.

교육 기관: Oriolowo T A

Jun 14, 2019

Awesome course and the teaching was superb

교육 기관: salome a

May 10, 2019

Excellent introduction to statistics and R

교육 기관: Anderson S

Apr 27, 2019

I love the simplicity of the explanations

교육 기관: Rizky M B

Aug 01, 2019

Very helpful, and interesting lecturer !

교육 기관: Tanawin N

Sep 02, 2019

Great experience through great efforts!

교육 기관: Thomas J H

Mar 31, 2019

Clear and no nonsense. Do recommend.

교육 기관: Rahim H

May 06, 2019

I very much enjoyed the course!

교육 기관: Yifan Z

Mar 27, 2019

very friendly for new beginners

교육 기관: Faria H

Nov 05, 2019

Wonderful course for beginners

교육 기관: R D

Jun 19, 2019

excellent course for beginners

교육 기관: Lawrence L

Feb 08, 2020

Fun, fast paced, applied.

교육 기관: Yasna P S

Nov 13, 2019

Good introductory course

교육 기관: Enrique D O

Mar 31, 2019

I highly recommend it

교육 기관: Maksym H

Jan 19, 2020

It was fun & easy

교육 기관: Anup K

Sep 07, 2019

Good Course

교육 기관: ONUOHA C A

Jun 24, 2019


교육 기관: Eddy A S M

Jun 03, 2019


교육 기관: Lida M

Nov 11, 2019


교육 기관: Michelle W

Oct 13, 2019

The instructor is clear and engaging. I enjoyed the real world examples that were used. My only reason for less than 5 stars is the amount of reading in week 3/4. I very much prefer videos to introduce the concepts, and then perhaps additional readings for further information... More video please!