Data Analysis II

Catalog description

Data science is about 80% data preparation and 20% modeling. Data Analysis II continues the two-course sequence and explores problem solving with data to generate insights. With well-prepared data, a variety of descriptive, diagnostic, predictive, and prescriptive analytic approaches will be explored. This course introduces some of the tools and techniques that can be used to support the data-driven decision making process, enriching those processes with insights and actionable recommendations.