Accelerating data science in healthcare with Python and R



Hee Kim, University of Heideberg

Tobias Gradinger, University of Heideberg

Day: Friday, September 11

Length of tutorial: full day

Technical level: medium


Conventional database systems are not designed for Data science applications. For instance, data visualization is beyond the capacity of the conventional tools. This tutorial will open the door to the participants to learn how to leverage data science with Python and R as they are known as suitable tools for data science application.

Local Organizer:

Institute of Biometry and Clinical Epidemiology
Charité - Universitätsmedizin Berlin & Berlin Institute of Health