BIT-5324: Predictive Analytics and Data Mining for Executives
Description: Implementation of predictive analytics and data mining to support business decisions. Building analytics capability within an organization. Data exploration, cleaning, and visualization. Use of a structured methodology for data mining practice. Supervised and unsupervised modeling techniques, and their applications. Translation of model outputs to business policies and practices. Pre: Graduate standing.
Pathways: N/A
Course Hours: 2 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 5
Average GPA: 3.64 (A-)
Strict A Rate (No A-) : 53.12%
Average Withdrawal Rate: 0.00%
| Barbara M Fraticelli | 2024 | 68.6% | 22.7% | 8.7% | 0.0% | 0.0% | 0.0% | 3.59 | 4 |
| Barbara J Hoopes | 2019 | 92.3% | 7.7% | 0.0% | 0.0% | 0.0% | 0.0% | 3.85 | 1 |