MGT 3100 Foundations of Business Analytics
This course provides a foundational understanding of business analytics and artificial intelligence (AI), focusing on how these tools empower data-driven decision-making in a business context. The course takes a multi-level approach in generating insights using descriptive, diagnostic, predictive and prescriptive analytics. Students will explore the full analytics lifecycle, from defining business problems to collecting, cleaning, and visualizing data. The course introduces AI and machine learning (ML) concepts, explaining their real-world applications in areas like marketing, finance, and operations. Through case studies, hands-on exercises, and Python programming, students will gain insight regarding the strategic advantages that a data-centric mindset provides.
Notes
Course Outcomes
- 1 - Translate a business problem into an analytical question.
- 2 - Use descriptive analytics and visualization tools to explore data, identify trends, and communicate insights.
- 3 - Apply programming and predictive modeling techniques including both statistical and machine learning methods to address and solve real-world business problems.
- 4 - Identify and discuss the ethical considerations and potential biases related to AI and data usage in business, including privacy and transparency issues.
- 5 - Formulate a high-level strategy for leveraging analytics and AI to drive innovation and gain a competitive advantage within an organization.