# 使用 R 进行公共健康领域的统计分析 专项课程

Master Statistics for Public Health and Learn R. Develop your statistical thinking skills and learn key data analysis methods through R

**4,954**人已注册！

### 您将学到的内容有

Recognise the key components of statistical thinking in order to defend the critical role of statistics in modern public health research and practice

Describe a given data set from scratch using descriptive statistics and graphical methods as a first step for more advanced analysis using R software

Apply appropriate methods in order to formulate and examine statistical associations between variables within a data set in R

Interpret the output from your analysis and appraise the role of chance and bias as explanations for your results

### 您将获得的技能

## 关于此 专项课程

## 应用的学习项目

In each course, you'll be introduced to key concepts and a data set to be used as a worked example throughout that course. Public health data are messy, with missing values and weird distributions all too common. The data you'll use are either real or simulated from real patient-level data sets (all anonymised and with usage permissions in place).

The emphasis will be on “learning through doing” and “learning through discovery” as you encounter typical data and analysis problems for you to solve and discuss among your fellow learners. You'll get the chance to work things out for yourself and with your peers before accessing the answers and explanation provided by the instructors.

#### 可分享的证书

#### 100% 在线课程

#### 灵活的计划

#### 初级

Familiarity with seeing graphs and tables. Basic numeracy (so NOT calculus, trigonometry etc). No medical, statistical or R knowledge is assumed.

#### 完成时间大约为4 个月

#### 英语（English）

### 专项课程的运作方式

### 加入课程

Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习，请直接注册专项课程，或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时，您将自动订阅整个专项课程。您可以只完成一门课程，您可以随时暂停学习或结束订阅。访问您的学生面板，跟踪您的课程注册情况和进度。

### 实践项目

每个专项课程都包括实践项目。您需要成功完成这个（些）项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程，则需要在开始之前完成其他所有课程。

### 获得证书

在结束每门课程并完成实践项目之后，您会获得一个证书，您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。

### 此专项课程包含 4 门课程

### Introduction to Statistics & Data Analysis in Public Health

Welcome to Introduction to Statistics & Data Analysis in Public Health!

### Linear Regression in R for Public Health

Welcome to Linear Regression in R for Public Health!

### Logistic Regression in R for Public Health

Welcome to Logistic Regression in R for Public Health!

## 立即开始攻读硕士学位

### 关于 伦敦帝国学院

### 审阅

#### 4.6

##### 来自使用 R 进行公共健康领域的统计分析的热门评论

Learned a lot! The structure of the course was very logical and manageable. Will be continuing with the rest of the courses in the Specialization.

Great way to start modelling using R. Course instructor is good. The concepts are well introduced and put into practice with R. Finally, to get a hang of the whole thing, you need a lot of practice!

This is an excellent course to learn how to think statistically with respect to linear regression. The course covers a lot of materials and equips one to further explore this vast area.

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.

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

Insightful, concise and made highly easy to understand thanks to the great instructor! Things I learned here have been utilized in both my academic and my professional pursuits.

The course was really great. The instructor explained the things in a lucid manner. Also the reading materials were great. Thank you so much for this course

Wonderful explanation and introduction to R programing. With minimal additional self learning you can easily master all of the content of the course.

## 常见问题

退款政策是如何规定的？

我可以只注册一门课程吗？

可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。

有助学金吗？

我可以免费学习课程吗？

此课程是 100% 在线学习吗？是否需要现场参加课程？

此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

完成专项课程后我会获得大学学分吗？

此专项课程不提供大学学分，但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。

完成专项课程需要多长时间？

3/4 hours a week for 3 to 4 months

What background knowledge is necessary?

The specialisation will assume no knowledge of statistics or R software.

Do I need to take the courses in a specific order?

We recommend taking the courses in the order in which they are displayed on the main page of the Specialization

还有其他问题吗？请访问 学生帮助中心。