STAT 1061 - DATA SCIENCE FOUNDATIONS
Minimum Credits: 3
Maximum Credits: 3
This course is designed to provide a general introduction to the rapidly growing field of data science. The course will be very hands-on with students actively carrying out the techniques and procedures being taught on real datasets in order to foster the ability to reason with data. As part of this process, students will be taught the basics of programming (coding) in R and these skills will be reinforced through weekly lab sessions. In developing the core concepts, students will also be exposed to ancillary topics such as data ethics, simulation basics, and best practices in programming. No previous programming experience nor background in statistics will be assumed.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: LG/SNC Elective Basis
Click here for class schedule information.
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