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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 one-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

Educational

Education Topic

 

Start Time

10/30/2019 9:00 AM

End Time

10/30/2019 5:00 PM

City

Washington

State/Province

District of Columbia

Event Country

United States

Event Region

Americas

Location Info

​CFA Society Washington, DC
1401 New York Ave NW, 
Washington, DC 20006

Click here for map

Metro: McPherson Square (Blue, Orange, and Silver Lines) and Metro Center (Blue, Orange, Red and Silver Lines)

**When you enter into the building, please show a photo ID to security and take the elevator to B1.

Speaker

 

CE Credits

7.00

SER Credit

0.00

Currency

USD

Member Price

499.00

Non-Member Price

599.00

Candidate Price

599.00

Registration

Registration is closed.

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

10/30/2019 9:00 AM

Attachments

Content Type: MyCFA Calendar
Version: 1.0
Created at 8/1/2019 9:01 AM by serena.roche@gmail.com[CASMSTS:username]
Last modified at 10/25/2019 12:24 PM by serena.roche@gmail.com[CASMSTS:username]