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

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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：

176 - Introduction to Statistics & Data Analysis in Public Health 的 200 个评论（共 298 个）

创建者 Yan M

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Jan 3, 2021

Very clear! Highly recommend this one!

创建者 AGGREY G O

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Jul 16, 2020

Highly educative with relevant content

创建者 Thomas J H

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Mar 31, 2019

Clear and no nonsense. Do recommend.

创建者 Shaibu I

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Apr 8, 2020

Fantastic course and lecturer, kudos

创建者 José Á J R

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Aug 4, 2024

Very useful introduction to RStudio

创建者 Alhelí L B A

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Jan 22, 2024

SENSACIONAL, NO SE VAN A ARREPENTIR

创建者 Benedict S

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Jan 30, 2021

Was truly an up skill. well thought

创建者 Juliana P R

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Oct 18, 2020

I've learnt a lot with this course!

创建者 Sara A

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Mar 31, 2020

Very useful introductory course.

创建者 Angelo A P L

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Aug 24, 2020

Excellent course, good content.

创建者 Rahim H

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May 6, 2019

I very much enjoyed the course!

创建者 yvone j

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Mar 26, 2019

very friendly for new beginners

创建者 Deleted A

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May 11, 2020

Wonderful course for beginners

创建者 DR R D

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Jun 19, 2019

excellent course for beginners

创建者 Ivana G S

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Jun 28, 2020

Clear explanations, fun tests

创建者 Emami A P

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Jul 19, 2020

i really enjoyed this course

创建者 GURAVAIAH T

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Aug 27, 2025

good course thanking you

创建者 Qu Y

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Sep 4, 2022

great course for beginner

创建者 Mauricio Z

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May 13, 2020

Really interesting course

创建者 Lawrence L

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Feb 8, 2020

Fun, fast paced, applied.

创建者 Sehar A

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Aug 15, 2020

Very well planned course

创建者 Yasna P S

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Mar 4, 2020

Good introductory course

创建者 Kaoma M M

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Mar 12, 2020

Current and applicable

创建者 Ahmed A M E

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Mar 4, 2023

Really helpful course

创建者 Tawsib A L

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Sep 28, 2020

very effective course