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Introduction To Data Science & Python for Finance

Event Description

The amount of data available to organizations and individuals is unprecedented. Financial services sectors, including securities & investment services and banking, have the most digital data stored per firm on average. Finance companies that want to maximize use of this available data require professionals who have a keen understanding of data science and know how to use it to solve meaningful business challenges.

This two-day, hands-on course provides a structured teaching environment where attendees learn the Python programming language as a powerful tool to conduct robust data analyses on finance-related data sets. At the end of the workshop, course participants will have applied the Python programming language and essential data analysis techniques to practical programming exercises to gain experience solving challenging finance-related problems.

Specific area in finance where data science skills acquired from this course can be effectively applied include: sentiment analysis, advanced time series analysis, risk management, real-time pricing and economic data analysis, customer segmentation analysis, and machine learning algorithm creation for financial technologies.

No prior programming experience required.

Learning Objectives:

  • Learn basic foundations in programming and data science
  • Receive an overview of state-of-the-art data science and machine learning methods
  • Discover how finance professionals can use data science to solve real-world problems
  • Understand the advantages of data science and specific analytical methods
  • Obtain hands-on Python programming experience
  • Understand effective data visualization techniques using Python
  • Ability to hit the ground running with executing core data tasks by the end of the course

Who Should Attend?

  • Investment professionals
    • Quantitative traders
    • Event-driven fund managers
    • PE/VC investors
    • Traditional asset managers
  • Fintech entrepreneurs and/or product managers
  • FP&A and strategy professionals at corporations
  • PE portfolio company operators
  • Private wealth managers
  • Economists
  • IT and tech professionals at financial institutions
  • Management consultants

Please Note: Participants will need to bring a laptop with them to the course.

Event Type

Society; Career; Educational

Education Topic


Start Time

1/16/2018 9:00 AM

End Time

1/17/2018 5:00 PM





Event Country


Event Region


Location Info

George Mason University - Arlington ​​Campus

Founders Hall
Room 120
3351 North Fairfax Drive
Arlington, VA 22201
​Click here for map​
​Metro: Virginia Square (​Orange and Silver lines)
*Parking Garage is available at Founders Hall 



CE Credits


SER Credit




Member Price


Non-Member Price


Candidate Price



​Click here​ to register.
If you are having trouble with the online registration, ​Please click here for a manual registration.

**Note to employers: We will offer a 10% discount if you send 3 or more employees to this seminar. Please contact Serena Roche​ for group registrations.

All Day Event











1/16/2018 9:00 AM


Content Type: MyCFA Calendar
Created at 11/2/2017 11:10 AM by[CASMSTS:username]
Last modified at 1/9/2018 10:29 AM by[CASMSTS:username]