Overview of Data Science for Biomedical Data Analysis Training Program Commencing from Dec 14, 2021

The rapid growth of high-throughput data, including -omics technologies, gave rise to significant demand for data science skills and experience with bioinformatics methods of analysis. This online training program will cover practical and conceptual aspects of data science, including data wrangling, statistical analysis, and machine learning in application to high-throughput biomedical omics data using big data analysis tools on the T-BioInfo Platform, R and Python. Throughout the course, students will get an understanding of opportunities and limitations of machine learning in the context of basic pre-clinical and clinical research.

The training is designed as a combination of online resources, practical assignments and live workshops that will be conducted via ZOOM. Throughout the course, we will review several project examples that demonstrate successes and limitations of conventional machine learning (ML) methods and deep learning (DL) using data from public repositories. To learn more, we welcome you to review the information on this page and register for an upcoming webinar where the program topics will be introduced and questions about he training will be answered by our team.

Steps to Register yourself for the program:
2. Pick the level you would like to enroll for, "Beginners", "Advanced", "Intermediate".
(With an advanced license you would get some extra time to work on a publishable project under mentor guidance.)
3. Proceed with the payment checkout.
(NOTE - Alternate Banking option is also available for interested participants in India via google pay / Paytm / Bank Transfer and PayPal for other countries)