Foundations in Business Analytics
Department: Professional Pathways
Business analytics skills are essential to analyze trends, interpret key insights, and make data-driven decisions. Earners of this badge have completed 3 Bradley University credit courses in Management Information Systems and Quantitative Methods and have demonstrated the ability to organize and disseminate data with spreadsheets and databases, create statistical analysis of that data, and make evidence-based decisions using inferential statistics based on well-reasoned statistical arguments.
Earning Criteria
| Code | Title | Hours |
|---|---|---|
| MIS 173 | Introduction to Business Analytics | 3.0 |
| MIS 272 | Business Analytics Tools and Techniques | 3.0 |
| Q M 262 | Quantitative Analysis I | 3.0 |
| Total Hours | 9 | |
- Badge earners have earned a B or higher in Bradley University's MIS 173 Introduction to Business Analytics. Industry-based competencies include using Microsoft Excel to perform calculations with formulas, analyze and chart data, directly import data, create dynamic links, perform what-if analyses, create pivot tables to aggregate data, and create basic data models from multiple sources. Earners have been assessed through spreadsheet analysis and Cengage MindTap assignments.
- Badge earners have earned a B or higher in Bradley University's MIS 272 Business Analytics Tools and Techniques. Industry-based competencies include using MS Excel, SQL, Microsoft Power BI, and Tableau to extract and visualize data through the creation of charts, graphs, and maps; create forms, build optimization models, create data models, & make recommendations based upon the data. Earners have been assessed through projects on optimization, cost estimation and pricing, and data mining.
- Badge earners have also earned a B or higher in Bradley University's Q M 262 Quantitative Analysis I. Industry-based competencies include creating spreadsheet applications to analyze and solve business problems, and demonstrating techniques such as linear and non-linear functions, systems of linear equations, linear programming, sets and probability, and basic statistics. Earners have been assessed through projects, Cengage MindTap exercises, quizzes, and exams.