Introduction to the Course

This course will describe the concepts underlying the field of study identified as big data analytics along with its application in healthcare. The theoretical underpinnings of these concepts will be presented along with applications in healthcare, including knowledge discovery, precision medicine/nursing, and the development of targeted interventions to improve health outcomes. Commonly used methods in big data analytics will be reviewed, and the challenges related to gathering, analyzing, visualizing, and interpreting big data will be discussed. Hands-on computer laboratory experience with these techniques relevant to an identified area will be included.

What is data science

Open discussion

Introductory Slides


See links and information on this website under Resources for R, RStudio, Git and Github at

Setting up R and RStudio

  1. See Pre R Workshop Setup Instructions This online “Book” has information on R, installing R and RStudio, and places to get help.

  2. Youtube Video on Installing R, RStudio and Compiling your first Rmarkdown report.

Working with R/RStudio with GIT/Github

A key online book that is HUGELY helpful is “Happy Git and Github for the UseR” by Jenny Bryan, see

Rmarkdown reports

In addition to the YouTube video demonstration above, also learn more at:

Copyright © Melinda Higgins, Ph.D.. All contents under (CC) BY-NC-SA license,CC-BY-NC-SA unless otherwise noted.

Feedback, Comments (email me)?