STAT 1961 - STATISTICAL DATA SCIENCE IN ACTION

Minimum Credits: 3
Maximum Credits: 3
This course is designed to provide senior students majoring in data science an opportunity to complete a realistic, in-depth applied data science project from start to finish. Students will begin by identifying a dataset and key questions of interest to be examined. Once approved, students will prepare a detailed analysis plan utilizing the various statistical modeling and machine learning strategies learned throughout previous courses. As these analyses are carried out, students will regularly provide interim progress reports and updates; students not presenting will ask questions and provide suggestions and constructive criticism. The semester will culminate with each student providing a final professional presentation of results along with detailed written technical and non-technical reports. These projects and reports are designed so as to be easily incorporated into a student portfolio of professional data science work. Students are expected to utilize the R programming language to perform the necessary computing for their project. Prior knowledge and experience with R is expected.
Academic Career: Undergraduate
Course Component: Practicum
Grade Component: LG/SNC Elective Basis

Click here for class schedule information.

Add to Portfolio.

Close Window