The Applied Data Science Lab is a continuing education offering where students tackle real-world meaningful, and complex problems. By completing a series of end-to-end data science projects, they build the wrangling, analysis, model-building, and communication skills to prepare them for success in data-centric careers in both the private and public sectors.

During this self-paced course, students will complete 8 projects that range from exploring housing prices in Mexico to predicting air quality in Kenya. They will work with publicly available datasets, upon which they can develop larger portfolio projects. Each student will gain access to a learning environment in which they will receive real-time feedback on their progress, collaborate with their peers, and attend live sessions with an instructor.

Upon completion, students will be able to query different types of databases, clean messy data, build predictive models for regression and classification, create compelling visualizations for project stakeholders — all while considering the ethical, social, and environmental impact of their work.