Course Description
This course introduces students to current data technologies in the field of finance. Using popular data software, students learn to gather, process, analyze, and visualize data, and apply these skills to financial models. Prerequisite: ECO 250, a Grade of C or better in FIN 315, and a Finance major.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Identify and understand common economic and financial data sources.
- Acquire bulk data from these sources.
- Develop, produce, and present business intelligence using data software.
- Process and organize data to desired structures.
- Apply financial models to analyze real-world data.
- Visualize data in effective and intuitive formats.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| The Face: Data Visualization - Exam 1 Week 5 | 25% |
| The Muscle: Data Modeling - Exam 2 Week 11 | 25% |
| The Brain: Data Analytics - Exam 3 Week 16 | 25% |
| Homework - After Each Lecture | 25% |
Grading Scale
| Percentage | Letter Grade |
|---|---|
| 92% and above | A |
| 90 – 91.99% | A- |
| 88 – 89.99% | B+ |
| 82 -87.99% | B |
| 80 – 81.99% | B- |
| 78 – 79.99% | C+ |
| 72 – 77.99% | C |
| 70 – 71.99% | C- |
| 68 – 69.99% | D+ |
| 62 - 67.99% | D |
| 60 – 61.99% | D- |
| < 60% | F |
Attendance/Participation:
Attendance/participation is not a graded component included in the student's final grade for this course.
Course Materials Purchased by the Students:
- Data Analysis with Power BI by Brian Larson, McGraw & Hill. ISBN: 9781260458626
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.