Business analytics is an evidence-based approach to management decision-making using analytic tools to transform data into insight. This course will combine student’s existing math / statistics skills and business knowledge with modern analytic tools (spreadsheets and other applications) in order to develop a toolkit of analysis tools for solving a variety of business problems. Topics include data management and transformation, visualization, optimization, simulation, and regression. Descriptive, predictive, and prescriptive analytics will be covered.
- Discern which tool(s) are applicable to which class of business problems (domain knowledge);
- Articulate the strengths and limitations of the models and tools;
- Use business analysis techniques to transform data into business analytics solutions using contemporary software tools such as spreadsheet software;
- Communicate analysis outcomes through relevant data visualizations embedded within oral presentations and written reports; and
- Describe the role of business analytics in modern evidence-based management and business decision making.
- Introduction to business analytics
- Basic Excel skills review
- Descriptive statistics
- Data visualization
- Probability and data modeling
- Sampling and statistical inference
- Regression analysis and forecasting
- Data mining
- Modeling and simulation
- Introduction to optimization
- Advanced optimization
- Decision making
Pre-Requisite(s): 9.00 credits including (1 of MATH*1030, MATH*1080, MATH*1200) (1 of ECON*2740, PSYC*1010, STAT*2040, STAT*2060)
Restriction(s): Restricted to students in BCOMM. Open Learning students, please contact the Open Learning program Counsellor Counsellor@OpenEd.uoguelph.ca.
|Business Analytics in Focus Reports||25%|
|Data Visualization Project (w/Tableau)||15%|
|Group Case Study||20%|
Additional Technical Requirements
This course will use the following:
- Respondus tool to invigilate one or more exams.
Please view the Technical Considerations.
*Course details are subject to change.