Implementation of principles and techniques of data science, including advanced programming projects.  Topics will be chosen from data visualization, data wrangling and cleaning, regression, classification, and clustering.  Industry best practices, such as ethical decision-making and communication of results, will be discussed.  Prerequisites: DS-200 and CS-190.