BISS 3603 - Introduction to Business Analytics

Credits: 3

The objective of this course is to introduce the student to fundamental data science concepts, methods, processes and technologies. The course will cover processes and tools for collecting, cleaning, sharing, analyzing and visualizing data. Students will become familiar with methods for statistical inference, regression analysis, and supervised and unsupervised data mining. Specific data mining methods include: k-nearest neighbors and naïve Bayes, decisions trees, and clustering. Students will use Excel.

Prerequisites: MATH 2003