Hands-On Full Life Cycle Data Science Workshop

The purpose of this track is to learn data science techniques in an interactive, hands-on, and safe environment. We will conduct exploratory data analysis, data preparation and model development. Participants will first learn important concepts and theory of data science and then discuss the challenges of working with EHR data (e.g., issues of data quality, data complexity and non-standardization). Participants will interact with and take away a fully functioning environment with synthetic data and step-by-step recipes for a data science project. 

NKBDS - Past and Future

• Provide a context synthesis for the Nursing Knowledge Big Data Science Initiative 2013-2018

• Describe the methods for making progress over the years

• Suggest  future possibilities for achieving sharable and comparable nurse-sensitive data to improve health and health care

Connie W. Delaney PhD, RN, FAAN, FACMI, FNAP
Bonnie L. Westra PhD, RN, FAAN, FACMI