Data Science Training Resources

NIH has many biomedical data science training resources available to the public:

The National Institute of Allergy and Infectious Diseases (NIAID) offers bioinformatics training sources. Some of these resources include general bioinformatics, programming, and biostatistics. Learn more below:

• NIAID Bioinformatics

The National Cancer Institute (NCI) offers data science training through the following:  

NCI’s Center for Biomedical Informatics and Information Technology offers data science training resources tailored specifically for early career investigators and trainees trying to understand the basics of data science in cancer research. Learn more below:

• Cancer Data Science Training Resources
  • Cancer Data Science Project Lifecycle
  • Data Science 101 Course
  • Training Guide Library

NCI’s Center for Cancer Research Bioinformatics Training and Education Program (BTEP) offers classes to empower researchers in the analysis of biological data using bioinformatics and data science techniques. BTEP also maintains an NIH-wide calendar of training classes. 

• Bioinformatics Training and Education Program

The National Library of Medicine (NLM) offers trainings through the following:

The NIH Library offers a list of online tutorials that include data science and bioinformatics trainings. These resources are broad, and topics range from bioinformatics to programming. Learn more below:

• Online Tutorials
  • Online Lectures on Bioinformatics (link is external)
  • CLC Developer Toolkit (link is external)
  • Partek Webinars (link is external)
  • NLM Bioinformatics Education Recordings

NLM’s National Center for Biotechnology Information (NCBI) offers archived webinars and courses, tutorials, and documentation resources. Learn more below:

• NCBI Educational Resources
  • Archived webinars and courses
  • Tutorials
  • Documentation

The National Institute of General Medical Sciences offers training modules to enhance data reproducibility, including computational and data science resources. Learn more below:

• Clearinghouse
  • Improving Reproducibility of Computational Microbiome Analyses (link is external)
  • edX Course: Principles, Statistical and Computational Tools for Reproducible Data Science (link is external)
  • Society for Neuroscience Rigor and Reproducibility Training Webinars

See additional resources (link is external) that may be of interest but are not NIH-sponsored.