This practical, introductory guide to data analysis features Ana, a nurse who is transitioning into a clinical informatics role by learning data analysis in a health center setting.

The guide: outlines foundational data concepts, including the three main categories of healthcare data: clinical, operational, and financial; details how data is collected, organized, and stored; provides an overview of various data analysis tools like Python, R, and SQL; explains how to clean and transform raw data; and concludes with examples of how data can be used for things like quality improvement and payment management.

Readers can download the three practice data sets provided to follow along with Ana throughout the guide.

Download the guide, along with three practice data sets, in the Documents to Download Section below.