RDAT 301 Principles and Techniques of Data Analytics 2
This course builds on Principles and Techniques of Data Analytics I to provide students with a more robust understanding of the tools of a Data Scientist. Data Analytics combines data, computation, and inferential thinking to solve challenging problems to thereby better understand the world. This class explores key principles and techniques of data science, including quantitative critical thinking and algorithms for machine learning methods. It will also introduce students to the ways in which data analytics is deployed in healthcare, marketing, political science, criminal justice, and other fields.
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, RDAT 201,
MATH 121