Statistical Analysis with R for Public Health Specialization

The Statistical Analysis with R for Public Health Specialization on the Coursera platform is composed of 4 course series:

1. Introduction to Statistics & Data Analysis in Public Health
2. Linear Regression in R for Public Health
3. Logistic Regression in R for Public Health
4. Survival Analysis in R for 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 course is also available in 22 languages: English (Original), Deutsch (Auto), हिन्दी (ऑटो), Русский (авто), Svenska (auto), 한국어 (자동), Ελληνικά (αυτόματο), Português (Brasil) (auto), Italiano (auto), Français (aut.), Magyar (automata), Español (auto), 中文（简体） (自动), العربية (آلي), ไทย (อัตโนมัติ), Українська (авто), 日本語 (オート), Bahasa Indonesia (otomatis), Polski (automatyczny), Nederlands (auto), Türkçe (otomatik), Қазақша (auto). Video subtitles only in: বাংলা, Tiếng Việt, پښتو, اردو, Azərbaycan dili, دری.

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