Professional Training

TAMIDS offers many training opportunities online and in person to give participants hands-on experience with different software and tools that they can use to expand their professional future. Every training is taught by an expert in the field, guaranteeing a top-notch educational experience.

Workshops in Data Science Foundations and Computational Practice

The week-long intensive workshop equips participants with diverse skills to enable their professional practice of data science. The target audience is organizations seeking to help their workforce develop knowledge and experience applying computational methods of data science. The workshop comprises a sequence of ten interactive, three-hour modules that integrate methodological exposition with application to data through hands-on programming and computation with Python notebooks. Participants use open-source tools and libraries to develop proficiency and understanding of the essential methods of current data science and state-of-the-art topics.

Biomedical Data Science Online Training Program

This series of two-hour online sessions is aimed primarily at graduate students in the biomedical sciences, but others interested in the field are welcome to join. Sessions will couple the exposition of underlying principles with the engagement of session participants through online quizzes and hands-on exercises focused on developing computational competencies using R notebooks. The program also provides self-instruction materials on the R language and statistical foundations. Instructors are faculty experts in Data Science with specialization in session topic areas. Through the program, participants can:

  • Engage Texas A&M faculty experts in a variety of data science domains.
  • Expand knowledge of the R language and in the areas of computation, systems, and statistics.
  • Experience hands-on application of supervised and unsupervised statistical learning to biomedical data. 
  • Establish a foundation for understanding FAIR data management, algorithmic fairness, data ethics, privacy preservation, and regulatory requirements, including HIPAA compliance.

Data Science Primers

Primers in topics in Data Science and AI, and the R and Python programming languages, provide students with a self-paced study through videos and hands-on experience with Python and R notebooks.


For further information on the training programs TAMIDS offers, please visit the TAMIDS Training Website.