550 Introduction to Statistical Modeling: Introduction to foundational concepts, theories, and techniques of statistical analysis for data science. Students will begin with descriptive statistics and probability, random variables and probability, significance tests and confidence intervals, and advance through linear and multiple regression. Students will also conduct analyses in R. This course is approachable for students with little statistical background.

560 Data Science for Business: This course explores the various ways data and science can be applied to business contexts. Particular emphasis will be placed on analytics using data to make informed business decisions. Approachable for students who have taken DTSC-550 or have an understanding of basic statistics and beginner-level experience with R.

600 Information Visualization: This course is designed to teach students the best practices in Data Visualization, the key trends in the industry, and how to become great storytellers with data. Students taking this class will learn the importance of using actionable dashboards that enable their organizations to make data-driven decisions. For this class students will use Tableau, one of the most used visual analytics platforms in the industry.

660 Data and Database Management with SQL: This course offers a comprehensive overview of data organization and management using relational database systems and the SQL programming language. The course introduces students to database systems and their applications, with a focus on designing and implementing database solutions based on user and data requirements.