Course Number
16:137:550
Credits
3
Prerequsites
1 intro course in statistics and 1 intro programming course. These can be undergrad or grad level.
Instructor's Profile
Semesters(s) Offered
Spring
Fall
Description
Study modern data analytics techniques within the fields of statistics, machine learning, and information theory. Basic methods include decision trees, covering algorithms, association mining, statistical modeling, linear models, and instance-based learning. Evaluate select case studies of data analytics research projects underway or conducted at Rutgers University, and complete a class project relevant to the data analytics field.
Course Objectives
By the end of this course, be able to:
- learn the basic theory and algorithms of data analytics and their application to practical problems.
Testimonials
Course Testimonials
"I had technical skills in the supply chain industry, but needed to know the fundamentals of predictive modeling and applied computing. In particular, the Fundamentals of Analytics class was a key building block in this exercise." (May 2019)