BUS 460 - Introduction to Business Analytics

Credits: 5
LEC hours per week: 5
The digital age of business requires an understanding of data. This class will gives students experience with the right tools to stay relevant. It also offers the theoretical understanding of data necessary for students to adapt to the many changes in business while also equipping students with the skills needed to perform vital daily functions. By the end of the course, students should be able to help a company make data-driven business decisions.
Prerequisite(s): Grade of C or higher in BUS 151
Course Outcomes:

Demonstrate an understanding of the processes and techniques of business data collection, analysis, and visualization.
Explain and apply the logic of optimization and attribution in business analytics.
Explain the terminology and tools of business analytics.
Apply the practical tools and techniques of business analytics.
Understand the roles of data technologies, data management systems, and data visualization in business.
Use basic programming tools and structured query language.
Understand machine learning and deep learning as part of artificial intelligence.
Run field experiments in digital environments using A/B testing.
Realize the critical role of cloud services and Internet of Things in business analytics.
Apply web analytics for better business decision-making.
Understand predictive and prescriptive modeling.

Course Topics:

Business data collection, analysis, and visualization
Optimization and attribution in business analytics
Terminology and tools of business analytics
Data technologies
Data management systems
Data visualization
Programming tools and structured query language
AI machine learning and deep learning
A/B testing
Internet of Things
Web analytics
Predictive and prescriptive modeling