Semester:
Fall of every year
Credits:
Variable from 1 to 3
Restrictions:
Open to MBA students or approval of department.
Description:
Introduction to the analysis of real-world financial data in a variety of settings. Applying textual analysis to large documents, identifying “sentiment” in Google search data, and back-testing trading strategies. Developing the programming skills necessary to both collect and prepare data for analysis. Identifying, downloading, cleaning, and shaping data.
Semester:
Fall of every year
Credits:
Total Credits: 3 Lecture/Recitation/Discussion Hours: 3
Restrictions:
Open to MBA students or approval of department.
Description:
Introduction to the analysis of real-world financial data in a variety of settings including applying textual analysis to large documents, identifying "sentiment" in social media data, and back-testing trading strategies. Developing the programming skills necessary to identify, collect, clean, shape, and analyze data.