This intensive course, developed by the International Society for Stem Cell Research (ISSCR), offers a comprehensive exploration of key topics in stem cell medicine.
Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
Learn about Christianity through a study of its sacred scriptures. We will explore how diverse Christians have interpreted these writings and practiced their teachings over a 2000 year, global history.
Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.
This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.
Increase your quantitative reasoning skills through a deeper understanding of probability and statistics, with the engaging “Fat Chance” approach that’s made this course a favorite among learners worldwide.