课程信息

141,314 次近期查看

学生职业成果

67%

完成这些课程后已开始新的职业生涯

33%

通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
初级

You will only need an interest in analysing quantitative data and familiarity with reading standard graphs and tables of data.

完成时间大约为16 小时
英语(English)
字幕:英语(English)

您将学到的内容有

  • Defend the critical role of statistics in modern public health research and practice

  • Describe a data set from scratch, including data item features and data quality issues, using descriptive statistics and graphical methods in R

  • Select and apply appropriate methods 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

您将获得的技能

Run basic analyses in RR ProgrammingUnderstand common data distributions and types of variablesFormulate a scientific hypothesis

学生职业成果

67%

完成这些课程后已开始新的职业生涯

33%

通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
可灵活调整截止日期
根据您的日程表重置截止日期。
初级

You will only need an interest in analysing quantitative data and familiarity with reading standard graphs and tables of data.

完成时间大约为16 小时
英语(English)
字幕:英语(English)

提供方

伦敦帝国学院 徽标

伦敦帝国学院

立即开始攻读硕士学位

此 课程 隶属于 伦敦帝国学院 提供的 100% 在线 Global Master of Public Health。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up93%(1,944 个评分)Info
1

1

完成时间为 4 小时

Introduction to Statistics in Public Health

完成时间为 4 小时
5 个视频 (总计 23 分钟), 7 个阅读材料, 2 个测验
5 个视频
Uses of Statistics in Public Health5分钟
Introduction to Sampling3分钟
How to Formulate a Research Question3分钟
Formulating a research question for the Parkinson's disease and supplement studies4分钟
7 个阅读材料
About Imperial College & the Team10分钟
How to be successful in this course10分钟
Grading policy10分钟
Data set and Glossary10分钟
Additional Reading10分钟
John Snow and the Cholera outbreak of 184920分钟
Instructions for Quiz10分钟
2 个练习
Parkinson's Disease Study Issues15分钟
Research Question Formulation1小时
2

2

完成时间为 4 小时

Types of Variables, Common Distributions and Sampling

完成时间为 4 小时
6 个视频 (总计 34 分钟), 3 个阅读材料, 5 个测验
6 个视频
Overview of types of variables4分钟
Well-behaved Distributions7分钟
Real-world Distributions and their Problems5分钟
The Role of Sampling in Public Health Research8分钟
How to choose a Sample4分钟
3 个阅读材料
Types of variables and the special case of age10分钟
More on the 95% Confidence Interval10分钟
Using your sample to estimate the population mean20分钟
5 个练习
Types of variables20分钟
Special case of age20分钟
Well-behaved Distributions20分钟
Ways of Dealing with Weird Data15分钟
Sampling10分钟
3

3

完成时间为 3 小时

Introduction to R and RStudio

完成时间为 3 小时
2 个视频 (总计 20 分钟), 10 个阅读材料, 2 个测验
2 个视频
How to Load Data and run Basic Tabulations in R13分钟
10 个阅读材料
How to Calculate Percentiles10分钟
Introduction to R20分钟
R Resources10分钟
Practice with R: Perform Descriptive Analysis10分钟
Feedback: Descriptive Analysis10分钟
How to judge visually if a variable is normally distributed in R10分钟
Practice with R - trying it out for yourself10分钟
Extra features in R10分钟
Practice with R: Extra features10分钟
Feedback: Extra features10分钟
2 个练习
Distributions and Medians20分钟
Calculations: Percentiles by Hand20分钟
4

4

完成时间为 5 小时

Hypothesis Testing in R

完成时间为 5 小时
4 个视频 (总计 20 分钟), 14 个阅读材料, 5 个测验
4 个视频
Hypothesis Testing6分钟
Choosing the Sample Size for your Study4分钟
Summary of Course2分钟
14 个阅读材料
The Coin Tossing Experiment: Part I10分钟
The Coin Tossing Experiment: Part II10分钟
The Coin Tossing Experiment: Feedback20分钟
Degrees of Freedom 20分钟
The chi-squared test with fruit and veg20分钟
Feedback: Sample Size and Variation10分钟
Comparing Two Means10分钟
Practice with R: Hypothesis Testing10分钟
Feedback: Hypothesis Testing in R10分钟
The Difference between t-test and Chi-squared test10分钟
Practice with R: Running a New Hypothesis Test10分钟
P values and Thresholds10分钟
Deaths data set for the end-of-course Assessment10分钟
Final R code10分钟
5 个练习
Hypothesis Testing10分钟
The Coin Tossing Experiment: Evaluation30分钟
Results: Running a New Hypothesis Test20分钟
Hypothesis Testing15分钟
End-of-course Assessment20分钟

审阅

来自INTRODUCTION TO STATISTICS & DATA ANALYSIS IN PUBLIC HEALTH的热门评论

查看所有评论

关于 使用 R 进行公共健康领域的统计分析 专项课程

Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health. In this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around. This specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019. The specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data....
使用 R 进行公共健康领域的统计分析

常见问题

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

  • 如果订阅,您可以获得 7 天免费试听,在此期间,您可以取消课程,无需支付任何罚金。在此之后,我们不会退款,但您可以随时取消订阅。请阅读我们完整的退款政策

  • 是的,Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请,申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤,包括毕业项目。了解更多

  • 此课程不提供大学学分,但部分大学可能会选择接受课程证书作为学分。查看您的合作院校,了解详情。Coursera 上的在线学位Mastertrack™ 证书提供获得大学学分的机会。

还有其他问题吗?请访问 学生帮助中心