FIN 580 JOR - Special Topics in Finance - Adv. Data Sci & Python for Fin
Lectures and discussions relating to new areas of interest. See class schedule for topics and prerequisites. Course Information: 4 graduate hours. No professional credit. Approved for Letter and S/U grading. May be repeated to a maximum of 18 hours in a semester; may be repeated to a maximum of 32 hours in subsequent semesters. Credit is not given for FIN 528 and FIN 580 (66393), Section ADF. Prerequisite: Varies by section.
Advanced Data Science & Python. This advanced course in Python and data science will cover concepts such as 1. Advanced data cleaning and preparation, regular expressions, text and sentiment extraction. 2.Pandas working with large datasets and best practices (adv cleaning, merge, shape, etc). 3.Fundamentals of Web scrapping and extracting data from APIs. 4.Working with DateTime types and time series data.
Option 1Number of Required Visit(s): 0
Course Level: Graduate