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
1,542 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
SS
Sep 15, 2021
a methodical way to understand statistics although focus is public health. the lecture open your prospctive to other industries in subtle ways, I also recommend ICL courses.
HC
Apr 4, 2021
This is a great introductory course to statistics. It's very clear, logical, and the progression of topics it's perfectly accompanied by examples and practical exercises.
筛选依据：