Foundations of Data Science combines an introductory look into the fundamental skills and concepts of computer programming and inferential statistics with hands-on experience in analyzing datasets by using common tools within the industry. Additionally, the course investigates ethical issues surrounding Data Science, such as data privacy.
This class requires in-person meetings and the use of Canvas. In-person meeting information (meeting days, times, location) is in the class schedule. Students will also complete coursework in Canvas, which must be accessed using an internet enabled device. This class is part of and is 16 weeks. For student support and other services, students can check . For course details, students must check the .
PREREQ: Intermediate algebra or higher Recommended Preparation, Readiness for college-level English or ESL 188