Introduction to Data Science

3.00 credits · Undergraduate

This course emphasizes practical techniques for working with large-scale data and introduces tools and techniques for managing, visualizing, and making sense of data through the use of statistical software. Topics include: descriptive statistics, confidence intervals, regression, and machine learning. (Format: Lecture 3 hours, Laboratory 1.5 hours)