This University of Miami Business Analytics Program focuses on the theoretical foundations of complex statistical analysis techniques, with a focus on business sector application.
This University of Miami Business Analytics Program focuses on the theoretical foundations of complex statistical analysis techniques, with a focus on business sector application. Businesses are increasingly utilizing data analytics to evaluate and adjust business processes and strategies. Participants learn about probability, statistical inference, regression analysis, and modeling. Also covered are quantitative data analysis methods and management approach adjustments driven by data analysis. Key concepts include data visualization and reporting, graphical representation of data, exploration, and reporting of data, and basic linear regression methods. Participants apply statistical techniques using spreadsheet software, to analyze specific business problems.
Program Objectives
- Analyzing relationships between variables to improve forecasting and business decision making
- Using software to create graphs, charts, and other modes of data visualization in the data analysis process
- Constructing reports incorporating data represented graphically
- Employing basic linear regression methods to drive informed business decisions
- Explaining the value and use of quantitative methods in business and decision modeling
- Applying statistical techniques to a wide range of business situations
Modules
- Business Analytics Introduction and Overview
- Descriptive, Predictive, and Prescriptive Analytics
- Visualizing and Summarizing Data
- Probability and Statistics
- Data Mining and Forecasting
- Regression Analysis
- Ethics and Special Topics in Business Analytics