The course focuses on data-driven decision-making in business and provides an introduction to methods and tools for that purpose. Students learn business analytics in the context of a variety of real-world examples. Thereby, they acquire basic data handling skills and learn how to apply statistical and operations research methods. Special emphasis is put on visualization and interpretation of results.
- Basic Data Handling
- Basic Data Processing and Visualization
- Hypothesis Tests
- Regression Analysis
- Exploratory Factor Analysis
After attending this course, students will be able to understand and apply the principles, methods and tools of business analytics to basic problems. This includes how to:
- Handle big data files in R and Excel
- Use visualization tools to identify patterns and trends
- Formulate and test hypothesis, and interpret their results in a business context
- Apply analysis of variance, regression analysis and exploratory factor analysis, and interpret the results of such analyses to support data driven decision-making in a business context
- Forecast based on historical data
- Develop and apply simulation models for decision support
- Formulate and solve a certain class of decision problems as linear programs
Attendance requirement is met if a student is present for at least 80% of the lectures.
The course is taught using a combination of lectures, class discussions, homework exercises and in-class assignments.
- Homework assignment, 30 points (6 homeworks)
- In-class assignments, 30 points
- Final exam, 40 points
In order to pass the class, you need attend at least 80 % of all classes. If you fulfill these criteria, the following grading scale will be applied:
- Excellent (1): 87.5% - 100.0%
- Good (2): 75.0% - <87.5%
- Satisfactory (3): 62.5% - <75.0%
- Sufficient (4): 50.0% - <62.5%
- Fail (5): <50.0%
For general, administrative questions, please use firstname.lastname@example.org.
For specific questions concerning certain contents, please contact the individual session-instructor directly via email@example.com
Please use "[Business Analytics 1] - ..." as subject to your Emails