Introduction to Methods in Data Science

Catalog description

This course introduces practical methods for gaining insights from large datasets that are transforming biomedical research. Data science utilizes tools from statistics and computer science to curate and process large datasets, explore data quantitatively, build predictive models, and communicate analysis results through visualization. Students will learn the Python programming language, databases and the SQL query language, and other technologies used by today’s data science practitioners through online course materials and face-to-face lectures. Using real-world examples, students will gain experience in hands-on practice in applying these software tools to explore datasets in genetics and electronic health records. Interactive online and face-to-face discussions will also discuss current research articles that apply data science to make discoveries in biology and medicine.