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Title

Introduction To Data Science & Python for Finance

Event Description

Introduction To Data Science & Python for Finance

Intro to Data Science.png

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

Career; Educational

Education Topic

 

Start Time

1/15/2019 9:00 AM

End Time

1/16/2019 5:00 PM

City

Arlington

State/Province

VA

Event Country

United States

Event Region

Americas

Location Info

George Mason University - Arlington Campus
Founders Hall 121
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 

Speaker

 

CE Credits

0.00

SER Credit

0.00

Currency

USD

Member Price

899.00

Non-Member Price

999.00

Candidate Price

999.00

Registration

Click here​ to register
For CFAW Members 
Please login to receive member pricing.

**For CFAW Student/Candidate/Guest Members
Please enter the member discount code before you check out. If you have any issues registering online, click here to email.

The online registration system should now work for most browsers. If you are having trouble with the online registration,​ ​please register here with a manual form: Intro to Data Science Payment Form 1 15 2019 - 01 16 2019.pdf
 
Discounts/Refund Policy
Group Discount:​
Organizations are eligible for a 10% discount when registering three or more people for an event. All registrations must be received at the same time. Email all discount registrations together to events@cfawashington.org.

Cancellations, Substitution, and Refund Requests
  • Substitutions are welcome at any time
  • Cancelations must be made in writing and emailed to events@cfawashington.org​ on or before 5 business days prior to the event
  • No refunds will be processed after 5 pm ET, 5 business days prior to the event
  • A $25 administrative fee will be applied to all cancellations
  • Refunds will not be issued for no shows

All Day Event

 

Recurrence

 

Location

 

Cost

 

Description

 

Begin

1/15/2019 9:00 AM

Attachments

Content Type: MyCFA Calendar
Created at 9/14/2018 7:01 AM by serena.roche@gmail.com[CASMSTS:username]
Last modified at 11/20/2018 12:35 PM by serena.roche@gmail.com[CASMSTS:username]