|
Sep 07, 2024
|
|
|
|
Catalog 2023-2024 [ARCHIVED CATALOG]
|
MG 391 Data Analytics for Leaders Lecture Hours: 6 Credits: 6
Determine the best tool for turning data into a competitive advantage and to apply different models to data analysis. Explains how to make predictions using data. Understand tools and frameworks to build predictive models. Use business analytics to interpret and analyze data to serve customers better. Focuses on managerial decision making, machine learning and its business applications.
Prerequisite: Admitted into Applied Baccalaureate Program; completion of AAS program; or consent of instructor. Student Learning Outcomes:
- Describe different types of data and their utility
- Apply tools & techniques to perform data analysis
- Make predictions using data to inform strategy
- Evaluate complex business decisions in uncertain settings
Content Outline
- Types of Data
- Data types and sources
- Collection methods and tools
- Data security
- Technical Skills for Data Analysis
- Correlation and causation
- Regression analysis
- Types of Analysis
- Descriptive, diagnostic, predictive, prescriptive
- Tools for analysis
- Correlation and causation
- Data informed practice and decision-making
- Data visualization and interpretation
- Forecasting
- Ethical use of data in persuasive communication
- Optimization Models
- Decisions Trees
|
|