Introduction to Data Analytics
Poole College of Management Faculty: Coordinated by Bruce Branson and Don Pagach
Offered: Spring Semester
Given the complexity of the global business environment and the speed of change, organizations face a growing range of uncertainty that can trigger risks to their strategic success. To help executives identify emerging risk trends and to help them monitor metrics focused on key risk indicators, many organizations are embracing data analytics as a tool to help them solve complex business issues.
This course introduces ERM (and other graduate) students to data analytics concepts, data visualization and reporting, and decision making in data management skills for analytics applications. Emphasis is placed on topics that include techniques and methods for identification, extraction, and preparation of data for processing with analytical software and data visualization. Upon completion, students should be able to demonstrate the skills necessary to effectively organize and combine different data sources for analytic applications in order to address real-world business risks and challenges. Students will thoroughly explore (hands-on) several data visualization tool such as SAS Visual Analytics and SAS Enterprise Miner that provide a complete platform for analytics visualization and enabling to identify patterns and relationships in data for effective data-driven decision making.
Enterprise Risk Management Library:
- Enterprise Risk Management Basics
- Risk Management Fundamentals
- Risk Management Leadership
- Risk Management Benchmarking
- Risk Management Trends