Transfers ToCSUDescriptionThis course is an introduction to the key principles and techniques used in data science with an emphasis on descriptive and inferential statistical thinking using a computer programming language. Topics include preparing, cleaning, and analyzing existing real-world datasets visually, numerically, and algorithmically from multiple fields of study to make data-driven decisions. Additional topics include ethical considerations in data use, predictive modeling, and an introduction to machine learning.Usually HeldThu 2:15pm–3:45pm, Thu 3:55pm–5:25pm, Wed 10:30am–12:00pm, Wed 12:10pm–1:40pm 