QF 104 Data Management in R
Objective of this course is to provide students with formal training on various advanced skills in R, students will be pre-loaded with these skills prior to entering the workplace. After taking this course, students will be able to understand 1) advanced R, 2) how to read/write financial data to/from SQL and noSQL databases, 3) basic regression techniques, and 4) how to construct and run off-the-shelf machine learning algorithms. This lab session will employ a lecture followed by in-class exercises based on material from the lecture. There will be between 5 exercises to be completed outside of the lab session; these assignments will be related to what material is taught in the main lecture.
Distribution
School of BusinessOffered
Fall Semester
Spring Semester