Georgetown University is offering 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.
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
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 MDCourse Director
Georgetown University Medical Center
Georgetown University Medical Center
Yuriy Gusev PhDCourse Director
Georgetown University Medical Center
Georgetown University Medical Center
Peter McGarvey PhDCourse Director
Georgetown University Medical Center
Georgetown University Medical Center
Krithika BhuvaneshwarResearch Associate II (Bioinformatics) and Project Manager, Innovation Center for Biomedical Informatics (ICBI)
Georgetown University
Georgetown University
Ben Busby PhDGenomics Outreach Coordinator at the National Center for Biotechnology Information (NCBI)
Ashlea Carver JDDeputy Conflicts Officer and Regulatory Affairs Associate
Georgetown University Medical Center
Georgetown University Medical Center
Robert Clarke PhD, DScDean for Research and Professor of Oncology
Georgetown University Medical Center
Georgetown University Medical Center
Jerry SH Lee PhDDeputy 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 PhDDirector, Innovation Center for Biomedical Informatics (ICBI)
Georgetown University
Georgetown University
John. L. Marshall MDChief, Hematology and Oncology, Lombardi Comprehensive Cancer Center
Georgetown University Medical Center
Georgetown University Medical Center
Sheila Cohen Zimmet BSN, JDSenior Associate Vice President for Regulatory Affairs, GU Medical Center
Georgetown University
Georgetown University
Requirements
- Background in biology is suggested (high school or undergraduate level). Review of relevant courses in biology and life sciences (e.g. genetics, genomics, DNA/RNA/Protein structure and function, transcription, and translation) is recommended, but not required.
- Courses to explore include Genomic Medicine Gets Personal(GeorgetownX), AP® Biology Part 1: The Cell(RiceX), AP® Biology Part 2: Genetics (RiceX), and Proteins: Biology’s Workforce(RiceX).
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.)
Dear readers, after reading the Content please ask for advice and to provide constructive feedback Please Write Relevant Comment with Polite Language.Your comments inspired me to continue blogging. Your opinion much more valuable to me. Thank you.