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LDW: Developing Composite Indices in Python (“Financial Attractiveness Index”) Online

The "Index Developing in Python Creating Financial Attractiveness Index" workshop is designed for participants who are interested in learning how to create a financial attractiveness index using Python programming language. The workshop will cover the basics of index development and how to apply these concepts to create a financial attractiveness index.

Participants will learn how to use Python libraries to manipulate and analyze data. They will also learn how to use visualization libraries to create visual representations of the index.

By the end of the workshop, participants will have a solid understanding of how to develop and implement a financial attractiveness index using Python. They will also have the skills to apply this knowledge to other index development projects in the future. This workshop is perfect for professionals in the finance industry, data scientists and analysts, and anyone interested in learning more about index development using Python.


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Tuesday, February 14, 2023
1:00pm - 2:00pm
Time Zone:
Eastern Time - US & Canada (change)
This is an online event. Event URL will be sent via registration email.
  Faculty     Graduate     Guests / Community Members     Undergraduate  
  Data Services  
Registration has closed.

Event Organizer

Michael Murphy