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

学生对 Imperial College London 提供的 Introduction to Statistics & Data Analysis in Public Health 的评价和反馈

4.7
星
1,534 个评分

课程概述

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....

热门审阅

NK

May 4, 2025

GOod start to someone who has never used R or any statistical programming before. I've good understanding of stats butdid not learn R and this gives me enough confidence to do my analyses

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.

筛选依据：

201 - Introduction to Statistics & Data Analysis in Public Health 的 225 个评论（共 298 个）

创建者 Enrique D O

•

Mar 30, 2019

I highly recommend it

创建者 Piamaria N

•

Mar 15, 2020

course presentation.

创建者 Dr. A M

•

Jan 14, 2023

GOOD FOR BEGINNERS

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 amani t

•

Oct 7, 2023

excellent course

创建者 Talent M

•

Apr 8, 2023

Very Beneficial!

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

创建者 SANAL J

•

May 26, 2021

great course .

创建者 Faiza M

•

Jan 14, 2025

amazing 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

创建者 BOUBACAR T

•

Jun 25, 2021

Good practice

创建者 DIANA S A

•

Oct 25, 2021

GoogGoodGood

创建者 CECIL K M A

•

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

amazing!!!!

创建者 Anup K

•

Sep 7, 2019

Good Course

创建者 ONUOHA C A

•

Jun 24, 2019

Outstanding

创建者 Ignacio F

•

Oct 29, 2020

Muy bueno!

创建者 Eddy A S M

•

Jun 3, 2019

Excelente!