DSC - Data Science

This course is an introduction to data science. Information is provided about the profession and its place in a variety of domains that range from ecology to finance. Students will study and practice each phase of a data science project to include data acquisition, data cleaning and manipulation, data analysis, and the communication of results with an emphasis on visual representations. Ethical considerations will be discussed at each project level.

This course introduces and upgrades tools for data analysis and presentation. Seminal works in the field of data visualization and their implications for visual design are discussed. Data mining, algorithmic complexity, mathematical modeling, and statistical methods are explored, while ethics, visuals and data handling are elevated from the introductory course.

In this course, students work as individuals and teams on a data science capstone project in a domain of interest, completing each stage from data acquisition to the communication of results.