No Code Data Exploration. 3 credits, 3 contact hours

Catalog description

This course teaches students how to work with biomedical data and extract useful insights without writing code. Students explore no-code tools that allow users to clean, analyze, and visualize data using drag-and-drop interfaces and AI-powered features. The course covers both traditional spreadsheet data and complex formats, such as text documents and images. Students learn to identify trends, create predictions, and discover patterns using visual tools, including supervised and unsupervised machine learning approaches. Students also learn to transform analysis results into clear presentations for various audiences. Through a semester-long project, students build a portfolio analyzing a biomedical dataset using multiple analytical methods. Students completing this course will feel confident tackling data analysis projects using visual tools, making them valuable contributors at data-driven organizations.