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Free Online Course on Demystifying Biomedical Big Data: A User’s Guide

Georgetown University is offering a free online course on Demystifying Biomedical Big Data: A User’s Guide. The goal of this course is to “demystify” the process of analyzing biomedical big data through a series of lectures and online hands-on training sessions and demos.

This course is designed to help you understand, analyze, and interpret biomedical big data.

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Course At A Glance 

Length: 8 weeks
Effort: 3-6 hours pw
Subject: Biology & Life Sciences
Institution: Georgetown University and edx
Languages: English
Price: Free
Certificate Available: Yes, Add a Verified Certificate for $49
Session: Self-Paced

Providers’ Details

Georgetown University, the nation’s oldest Catholic and Jesuit university, is one of the world’s leading academic and research institutions, offering a unique educational experience that prepares the next generation of global citizens to lead and make a difference in the world.

About This Course

This course was designed to facilitate the understanding, analysis, and interpretation of biomedical big data to those in the biomedical field with limited or no significant experience in bioinformatics. The goal of this course is to “demystify” the process of analyzing biomedical big data through a series of lectures and online hands-on training sessions and demos.

Why Take This Course?

The goal of this course is to “demystify” the process of analyzing biomedical big data through a series of lectures and online hands-on training sessions and demos. You will learn how to use publicly available online resources and tools for genomic, transcriptomic, and proteomic data analysis, as well as other analytic tools and online resources.

Learning Outcomes

  • Understand how biomedical data are being generated and processed
  • Learn about various biomedical big data resources (e.g. TCGA, G-DOC, UNIPROT, etc.)
  • Explore and analyze genomic, transcriptomic, and proteomic data using various online analysis tools
  • Make sense of big data using systems biology resources and tools
  • Appreciate the value of big data in biomedical research and clinical practice (e.g. enabling precision medicine)

Instructors

Bassem R. Haddad MD
Course Director
Georgetown University Medical Center

Yuriy Gusev PhD
Course Director
Georgetown University Medical Center

Peter McGarvey PhD
Course Director
Georgetown University Medical Center

Krithika Bhuvaneshwar
Research Associate II (Bioinformatics) and Project Manager, Innovation Center for Biomedical Informatics (ICBI)
Georgetown University

Ben Busby PhD
Genomics Outreach Coordinator at the National Center for Biotechnology Information (NCBI)

Ashlea Carver JD
Deputy Conflicts Officer and Regulatory Affairs Associate
Georgetown University Medical Center

Robert Clarke PhD, DSc
Dean for Research and Professor of Oncology
Georgetown University Medical Center

Jerry SH Lee PhD
Deputy Director, Center for Strategic Scientific Initiatives, Office of the Director, National Cancer Institute, National Institutes of Health, Department of Health and Human Services

Subha Madhavan PhD
Director, Innovation Center for Biomedical Informatics (ICBI)
Georgetown University

John. L. Marshall MD
Chief, Hematology and Oncology, Lombardi Comprehensive Cancer Center
Georgetown University Medical Center

Sheila Cohen Zimmet BSN, JD
Senior Associate Vice President for Regulatory Affairs, GU Medical Center
Georgetown University

Requirements

How To Join This Course

  • Go to the course website link
  • Create an edX account to SignUp
  • Choose “Register Now” to get started.
  • EdX offers honor code certificates of achievement, verified certificates of achievement, and XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
  • Once applicant sign up for a course and activate their account, click on the Log In button on the edx.org homepage and type in their email address and edX password. This will take them to the dashboard, with access to each of their active courses. (Before a course begins, it will be listed on their dashboard but will not yet have a “view course” option.)

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