CIS389 — Big Data Analytics
CIS 389 - Big Data Analytics CIS 389 - Big Data Analytics 5 Credits This course focuses on developing competency in big data analysis techniques and the application of data mining to solve complex business problems. A useful takeaway from the course will be the ability to construct predictive models and perform powerful data analysis. This is a hands-on class in which students will develop data mining models and present big data strategies for implementing them. 0 Program Admission Required Yes Admitted Program BAS - CIS Fees Academic Technology Fee Quarters Typically all Evening Designed to Serve For students admitted to the BAS program in Cybersecurity and Digital Forensics. Active Date 20260408T14:58:26 Grading Basis Decimal Grade Class Limit 24 Lecture 44 Lab 22 Total Degree Distributions: ProfTech Course Yes Restricted Elective Yes Course Outline The big data landscape and data mining in the business community How to analyze and explore data in preparation for data mining Introduction to tools Summary statistics and interpretation Correlation, tests, and significance Transform of data, log trans, missing data, and outliers Variable selection and data visualization Telling a story with data Building predictive model building, evaluation, and strategy Linear regression Logistic regression Neural network Cluster analysis Decision tree Modeling rare events Case study in data mining for Cybersecurity Student Learning