A general introduction to data analysis that covers a broad selection of methodologies for working with data. Topics will be chosen from sources of data, exploratory data analysis, data visualization, cleaning and preparing data, inference, and regression. Students will use statistical analysis technology. Particular topics related to analyzing data, such as ethics and communication of results are highlighted.
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.
This course will provide opportunities for freshmen and sophomores to participate in original research in data science. Students will submit findings in a written report and/or will give a presentation. Students will be expected to work approximately three hours per week on the research project for each semester hour of credit.
Notes
May be repeated for a maximum of six credit hours. Completed and signed Research Study Forms must be submitted to the Office of the Registrar.
Supervised experience in business, governmental, or non-profit institutions where work is related to student interest in data science. May be repeated for a total of 3 credit hours. Pass/fail grading only.
With a faculty mentor, the student will formulate and execute an original research project in data science that will culminate in a paper and a presentation. The research project must meet Honors Program thesis requirements as well as the expectations of the faculty mentor.
Required Prerequisites
Senior or second semester Junior Standing in the Honors and/or Teaching Fellows Programs who are minoring in Data Science.
Notes
Completed and signed Research Study Forms must be submitted to the Office of the Registrar.
With a faculty mentor, the student will formulate and execute an original data science research project that will culminate in a paper and/or a presentation.
Required Prerequisites
Junior and Senior Standing minoring in Data Science or others with permission of the department.
Notes
May be repeated for credit for a maximum of six hours. Completed and signed Research Study Forms must be submitted to the Office of the Registrar.