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BEGIN:VEVENT
DTSTART:20230214T180000Z
DTEND:20230214T190000Z
DTSTAMP:20230214T000000Z
SUMMARY:LDW:  Developing Composite Indices in Python (“Financial Attractiveness Index”)
DESCRIPTION: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.\n\nParticipants 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.\n\nBy 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.\n\n
LOCATION:Virtual
ORGANIZER;CN="Michael Murphy":MAILTO:michael.murphy3@shu.edu
CATEGORIES:Data Services
CONTACT;CN="Michael Murphy":MAILTO:michael.murphy3@shu.edu
STATUS:CONFIRMED
UID:LibCal-10298662
URL:https://shu.libcal.com/event/10298662
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