RDAT 201 Principles and Techniques of Data Analytics 1
This course is based heavily on UC Berkeley's Data 100 class. Data Analytics combines data, computation, and inferential thinking to solve challenging problems and understand their intricacies. This class explores key principles and techniques of data science and teaches students how to create informative data visualizations. It also explores particular concepts of Linear Algebra which are central to Data Science.
This online course is offered through Hartwick College's partnership with the LCMC, a national consortium of private colleges. The partnership allows students to earn Hartwick College credit toward career-focused degree programs. Courses are designed by top academics, reviewed by industry leaders, and taught by qualified faculty from other colleges within the consortium.
Prerequisite
RDAT 101, RDAT 102