Introduction to Statistics & Data Analysis in Public Health

The Introduction to Statistics & Data Analysis in Public Health on the Coursera platform is composed of 4 course series:

1. Introduction to Statistics in Public Health
2. Types of Variables, Common Distribution and Sampling
3. Introduction to R and RStudio
4. Hypothesis Testing in R

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.

This course is part of the Statistical Analysis with R for Public Health Specialization. When you enroll in this course, you’ll also be enrolled in this Specialization.

This course is 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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