Big Data and Data Science: What Do We Need to Know?

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Date Developed: 3/17/2017. Source: National Institutes of Health Library. Presenter(s): Lisa Federer. Type: Webinar. Level: Introductory. Length: 60 minutes.


This webinar defines big data and discusses techniques used to analyze data, find meaning in data, and common techniques and tools used in research areas.

Learning Objectives

• List four characteristics of big data.

• Define data science.

• Understand future implications of big data and data science.

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number UE8MC25742; MCH Navigator for $180,000/year. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.