Applied Data Science at Columbia is a project-based learning course that started in 2016. It employs the common task framework and runs 5 mini project cycles during one semester to give students a broad exposure to various areas in data science. Projects are developed and updated each year, drawing inspirations from active research, challenges and interesting public datasets.
Current subprojects: on pause.
