A free Data Science MOOC on High-performance Computing for Reproducible Genomics is computing is offered by Harvard University. In this course students will get a platform to create interactive reports that are beyond static tables and one-off graphics to transform the analysis outputs to real time ones.
What will candidates learn in the four weeks MOOC by Harvard University?
Candidates will learn how to bridge from
- diverse genomic assay and annotation structures to data analysis
- research presentations via innovative approaches to computing
September 7, 2017.
2-4 hours pw
Add a Verified Certificate for $49
About Harvard University
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. Harvard faculty are engaged with teaching and research to push the boundaries of human knowledge. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study.
Key Points Covered:
- Enhanced throughput
- Enhanced interactivity
- Enhanced reproducibility
- Parallel Computing
- Interactive Graphics
- Reproducible distributed analysis
Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute.
Vincent Carey is Associate Professor of Medicine (Biostatistics) in the Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School.
Michael Love is a postdoctoral fellow with Dr. Irizarry in the Department of Biostatistics at the Dana Farber Cancer Institute and Harvard T.H. Chan School of Public Health.