How to do Data Science

The new era of data science has provided the means to collect, process and analyze large and small sets of data from diverse sources to produce solutions to complex problems in a variety of applications. The data range from large document collections, to streaming sensor data, to images and videos. This presentation describes the field of data science and gives an overview to how to conduct data science to support of organizational objectives. We then provide examples of using data science to obtain significant results in translational health research.

Speaker Bio: Donald E. Brown is the Founding Director of the Data Science Institute at the University of Virginia, the Co-Director of the Integrated Translational Health Research Institute of Virginia (iTHRIV), and Quantitative Foundation Distinguished Professor and Professor of Data Science within the School of Data Science. Dr. Brown is a fellow of the IEEE and the recipient of the IEEE Joseph Wohl Career Achievement Award for his work in systems engineering and data fusion. He does research in predictive technology, data integration, machine learning and simulation optimization with applications to health science, security, and safety.

[karenschliep]

Great overview of data science! I am excited to use the 4 plus 1 approach for any of my upcoming data science projects. Thanks for your expertise.