- Statistical Thinking
- Survival Analysis
- Logistic Regression
- Data analysis with R
- Linear Regression
- Run basic analyses in R
- R Programming
- Understand common data distributions and types of variables
- Formulate a scientific hypothesis
- Correlation And Dependence
- Understand common ways to choose what predictors go into a regression model
- Run and interpret Kaplan-Meier curves in R
使用 R 进行公共健康领域的统计分析 專項課程
Master Statistics for Public Health and Learn R. Develop your statistical thinking skills and learn key data analysis methods through R
您將學到的內容有
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
您將獲得的技能
關於此 專項課程
應用的學習項目
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.
Familiarity with seeing graphs and tables. Basic numeracy (so NOT calculus, trigonometry etc). No medical, statistical or R knowledge is assumed.
Familiarity with seeing graphs and tables. Basic numeracy (so NOT calculus, trigonometry etc). No medical, statistical or R knowledge is assumed.
專項課程的運作方式
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實踐項目
每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。
獲得證書
在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

此專項課程包含 4 門課程
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!
提供方

伦敦帝国学院
Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.
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常見問題
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完成专项课程需要多长时间?
What background knowledge is necessary?
Do I need to take the courses in a specific order?
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