Course description

This course is designed to introduce students to basic concepts of epidemiology and biostatistics. Selected sections from textbooks and recent primary literature are used. Students learn how to critically read published epidemiological studies and understand the study design, analyses, and conclusions drawn from the studies. There is a substantial hands-on component in which students learn basic R statistical programming, using the National Health and Nutrition Examination Survey (NHANES) dataset primarily, to make discoveries.

Instructors

You may also like

Online
Increase your quantitative reasoning skills through a deeper understanding of probability and statistics, with the engaging “Fat Chance” approach that’s made this course a favorite among learners worldwide.
Price
Free*
Duration
7 weeks long
Registration Deadline
Available now
Online
Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.
Price
Free*
Registration Deadline
Available now
Online
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
Price
Free*
Duration
8 weeks long
Registration Deadline
Available now