Fundamentals of Data Science

Catalog description

This course is an introduction to data science with emphases on both theory and practice. Topics include data management, computational object manipulation, programming/scripting, statistical analysis, and data visualization. The laboratory offers students an opportunity to improve their conceptual understanding and technical skills. In the laboratory, data science concepts are reinforced through designing, writing, and running scripts in R, which is a powerful and popular statistical computing language. Throughout this course, students carry out a research project using R. No prior knowledge of R is required.