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Data-driven Health Informatics microcredential provides foundational knowledge and skills in finding, understanding, organizing, visualizing, and extracting information from health-related data. Students who complete this microcredential will be able to explore publicly available health and genetic data, and use open-source web tools, Python programming, and Stata software package to learn insights from this data.

Competencies gained:

  • Employ database management and software packages to collect, analyze, store, retrieve and run queries on publicly available health data.
  • Use industry-standard web-based and computational library-based tools, and bio/health algorithms to process, explore, examine and analyze health and genetic data.
  • Demonstrate, articulate and document health information and all the processes by which health data is generated.

Take all of the following courses (12 credits):

  • CMPSC 100 – Computational Expression
  • CMPSC 300 – Bioinformatics
  • GHS 228 – Global Health Data and Visualization

 

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