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Event Description
  
5/21/2019 9:00 AM5/22/2019 5:00 PM

​ Introduction To Data Science & Python for Finance

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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.
  
5/21/2019 6:00 PM5/21/2019 8:00 PM

​You​'re invited to the Women's Investment Network's (WIN) monthly meeting. This event that is hosted every third Tuesday of the month in DC, and is a great opportunity to meet and network with other women in the investment industry in a relaxed social setting.

  
6/1/2019 8:00 AM6/1/2019 4:30 PM

​​Schweser Mock CFA® -  All Levels Mock Exam

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Now that you have prepared and practiced for the CFA® exam, you are ready to perform and put your skills and knowledge to the test. The Live Schweser Mock Exam is as close to the actual CFA exam in format, difficulty, and length as we can make it. The Mock Exam helps develop your test-taking skills, identify your weak areas, and demonstrate your mastery of the CFA curriculum. Afterward, view answer explanations, check your score compared to those of other candidates, and drill deeper into each question with our Mock Exam Tutorial.

The Live Schweser Mock Exam includes:

  • Fully proctored and timed 6-hour exam (two 3-hour sessions)
  • CFA Institute topic weightings
  • Printed answer key and online answer explanations
  • Online scoring and performance tracking with a comparison to other Mock Exam takers
  • LOS and CFA curriculum page references for every question
  • Included Mock Exam Tutorial
  • Simply click on any question you missed and get an audio and whiteboard explanation of the CFA curriculum material on which the question is based. With approximately 10 hours of targeted instruction at each level, this is the most effective way to fill in the gaps in your knowledge just prior to exam day.

NOTE: For the real exam in June, CFA Institute requires an international travel passport from every candidate. This policy applies to all new and returning candidates, and is strictly enforced. Please be sure to read the CFA program's identification policy here
  
6/19/2019 7:05 PM6/19/2019 9:05 PM
​CFAW Baseball Outing:
Washington Nationals vs. Philadelphia Phillies

 
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Take an after-work break and join your fellow CFA's for an evening at Nationals Park to see the Washington Nationals go up against the Philadelphia Phillies on Wednesday, June 19th, 2019 at 7:05 PM. We have a limited number of tickets so don't hesitate - purchase your ticket today! We'll send your ticket to the email address you provide.  It's going to be a great night!

 
Cost: $20 Member/NonMember​​​
  
6/26/2019 9:00 AM6/26/2019 5:00 PM
Advanced Data Science & Machine Learning 

with Python for Finance

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Course Goals and Overview:

This hands-on data science course is a sequel to the Introduction to Data Science for Finance workshop. Advanced Data Science for Finance will provide an overview of modern machine learning algorithms that analysts, portfolio managers, traders and chief investment officers should understand and in a context that goes beyond a broader level introductory class in data science. Classification methods are touched upon in the introduction course, but the Advanced Data Science for Finance course focuses exclusively on this highly demanded and rapidly adopted segment of data science and machine learning.

This course will explore advanced classification methods including neural networks and decision trees which are among the most effective data science techniques. This workshop also provides an introduction to deep learning, a technique which has significantly increased the performance of machine learning algorithms over the last years and is heavily used in the financial services industry. Deep learning utilizes algorithms and methods that perform in a similar manner to the human brain. According to Gartner, 80% of data scientists will be competent in deep learning and deep learning will be utilized in a much larger role in different forms of predictive analytics across all functional areas of business including finance and markets.

At the end of the workshop, participants will be comfortable applying the Python programming language to build common classification algorithms and evaluate & interpret their accuracies in the context of finance.

Learning Objectives:

  • An overview and specific focus on core classification methods and how to use them to solve real-world problems in the finance industry.
  • Aims to provide attendees with a high level understanding and working knowledge of highly coveted artificial intelligence areas including deep learning and neural networks and their direct application to the field of financial analysis and capital markets.
  • Provide attendees that work in the finance industry with the ability to evaluate and select from a variety of classification methods and tools as these techniques continue to be adapted and implemented at an ever increasing rate.
  • Further and more advanced hands-on Python programming experience beyond the introduction course.
Who Should Attend:

  • Individuals working with or needing to understand machine-learning algorithms, specifically classification methods.
  • Graduates of the Introduction to Data Science for Finance course. The introduction course or equivalent is a prerequisite.
Course Sections:

Review of Core Data Science Methods

  • Supervised vs. Unsupervised learning, Classification, Regression, Clustering, Dimensionality Reduction, Ensemble, etc.
Selecting Informative Attributes

  • Information gain and entropy, overfitting/generalization
Decision Trees &  Random Forests

  • What is it
  • How to do this in Python?
  • Coding Challenge
K-Nearest Neighbors

  • What is it
  • How to do this in Python 
  • K-Nearest Neighbors Coding Challenge
Support Vector Machines

  • What are they?
  • How to do this in Python - example
  • SVM Coding Challenge
Neural Networks

  • What is it
  • How to use this in Python with an example
  • Neural Nets Coding Challenge 
Deep Learning

  • Why the hype?
  • How to get started with deep learning
Evaluation of Classification Methods

  • Accuracy, confusion matrix. ROC, AUC, Precision, Recall, etc.
Final Project

  • Given a dataset and a classification mandate, attendees have to run these different classification models and figure out which one is "best"
What is Needed from You:

  • Participants will need to bring a laptop with them to the course.
  • It is recommended that participants have previously taken Introduction to Data Science for Finance as a prerequisite. If you have not been able to take this course, please contact the instructors at info@cognitir.com
  
6/27/2019 6:00 PM6/27/2019 8:00 PM

​CFAW Annual Meeting

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This year's Annual Meeting will be held on the rooftop of Sands Capital located on 1000 Wilson Blvd, Arlington, VA – just two blocks from the Rossyln Metro Station. Join fellow CFAW members to celebrate the announcement of our new Board Members. This is our last major event before the summer vacation season begins and is always a popular event. The building is directly across the Potomac River and has spectacular views of the city. Catch up with old friends and make new ones while enjoying a cocktail reception and the panoramic view of DC during the golden hour of sunset. 
 
The event is free for CFAW members, but you must register in order to attend. The non-member fee to attend is $95.
 
We hope to see you there!

 
 
Thank You to Our Event Sponsor

 
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7/10/2019 1:30 PM7/10/2019 2:30 PM

MEMBERS ONLY: Tour of the Federal Reserve

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Have you ever wanted to sit on the Board of Governer's Chair in the Federal Reserve Board Room? CFA Society Washington, DC has a scheduled tour of the Federal Reserve that would give you the chance in crossing that item off your bucket list. So please come and join us for the private tour on Wednesday, July 10th, 2019 at 1:30 PM.

**Required to register: For security purposes by Wednesday, June 26th, 2019 all participants will have to supply their full name, date of birth and social security numbers; individuals without social security numbers must supply their passport numbers and country of origin.

Picture ID will be required the day of. State driver's licenses issued from a "REAL ID non‐ compliant" state will not be accepted and visitors with these licenses will be denied entry.  For a list of acceptable forms of identification, please access this link**

We will be meeting at 1:10pm at the Federal Reserve Visitor Center located on 20th Street between C Street and Constitution Avenue, N.W.

*The tour will begin at 1:30pm. Please arrive promptly at 1:10pm, so there is enough time for our group to pass through security.

Space is limited to 23 attendees on a first come first serve basis. You must be a CFAW member to attend.
  
7/18/2019 1:00 PM7/18/2019 2:00 PM

MEMBERS ONLY: Tour of the Federal Reserve

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Have you ever wanted to sit on the Board of Governer's Chair in the Federal Reserve Board Room? CFA Society Washington, DC has a scheduled tour of the Federal Reserve that would give you the chance in crossing that item off your bucket list. So please come and join us for the private tour on Thursday, July 18th, 2019 at 1:00 PM.

**Required to register: For security purposes by Thursday, July 3rd, 2019 all participants will have to supply their full name, date of birth and social security numbers; individuals without social security numbers must supply their passport numbers and country of origin.

Picture ID will be required the day of. State driver's licenses issued from a "REAL ID non‐ compliant" state will not be accepted and visitors with these licenses will be denied entry.  For a list of acceptable forms of identification, please access this link**

We will be meeting at 12:40 pm at the Federal Reserve Visitor Center located on 20th Street between C Street and Constitution Avenue, N.W.

*The tour will begin at 1:00pm. Please arrive promptly at 12:40 pm, so there is enough time for our group to pass through security.

Space is limited to 24 attendees on a first come first serve basis. You must be a CFAW member to attend.
  
8/22/2019 12:30 PM8/22/2019 1:30 PM

​​Members Only: Tour of the Bureau of Engraving and Printing​

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Take a break with us and join a group of fellow CFAW colleagues for a Members Only tour of the Bureau of Engraving and Printing.  Learn all about paper currency, get a chance to witness the production floor as bills are printed, and buy currency products at the gift shop (only if market value is less than intrinsic value).​

*Picture ID will be required on day of. The tour will begin at 12:30 pm. During peak season (March-September), tourism at all visitor attractions in Washington D.C. is extremely heavy. Please arrive promptly at 12:15 am so there is enough time for our group to pass through security. Those who arrive late for our scheduled tour will not be able to join. *
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Disclaimer​​​

The views expressed by the speakers do not necessarily reflect the views of policies of CFA Society Washington, DC, its Board of Directors or its members. CFA Society Washington,​ DC does not guarantee the source, originality, accuracy, completeness or reliability of any statement, information, data, finding, interpretation, advice, opinion, or view presented, nor does it make any representation concerning the same


​Contact Us
CFA Society Washington, DC
1200 Eighteenth St. NW, Suite 700
Washington, DC 20036
Phone: +1 (202) 872-4310
Fax: +1 (202) 315-3332
info@cfawashington.org