DSE 1002 - Foundations of Data Science II

Credits: 4

This course is a continuation of DSE 1001. The course will address data science topics with an emphasis on developing and reinforcing the appropriate skills to tackle data projects and “think with data”. The course features a series of real-world extended case studies and examples from a broad range of application areas, including business, politics, sports, environmental science, public health, social media and entertainment. Topics include statistical foundations, statistical modeling, predictive analytics, unsupervised learning methods and simulation techniques. Statistical programming using R/RStudio computing environment will be utilized in this course.
Prerequisite(s): DSE 1001 and MTH 1111 or a comparable course in statistics.
Fulfills: STEM in LS Core
When Offered: Every Fall