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Title

Bundle Together: ​Introduction to Python & Introduction to Data Science

Event Description

​Introduction to Python & Introduction to Data Science Bundle

0_Bq9czVoOSydbQUQ0.jpgIntro to Data Science.png

Introduction to Python for Business and Finance

Tuesday, October 29th, 2019
9 AM - 5 PM

Overview

Python is a high-level, object-oriented programming language that is used in a variety of projects ranging from data science and machine learning to backend web development. In fact, it is one of the most in-demand programming languages today.

Learning Python is a great entry point into the technical world as the syntax is much easier to learn compared to other programming languages. Because of its syntax simplicity, Python is a common first programming language for business and finance individuals. 

But, do not be misinformed though! Just because Python has easier syntax does not make it any less powerful compared to other languages. Many of the world’s tech majors use Python as part of their technical ecosystems. 

This one-day, hands-on introductory course teaches students foundational Python concepts and how to use Python’s popular libraries to complete various technical tasks. Students are presented with Python coding challenges throughout the day to test their understanding of the material. The course culminates with a challenging in-class coding project where students apply concepts taught in the course to create a game.

For more information on Introduction to Python for Business and Finance​, please click here.

​Introduction to Data Science & Python for Finance​

Wednesday, October 30th, 2019
9 AM - 5 PM

Overview​​

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 programming experience required.

For more information on, Introduction to Data Science & Python for Finance​​, please click here.

Event Type

Educational

Education Topic

 

Start Time

10/29/2019 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

14.00

SER Credit

0.00

Currency

USD

Member Price

898.00

Non-Member Price

1,078.00

Candidate Price

1,078.00

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

10/29/2019 9:00 AM

Attachments

Content Type: MyCFA Calendar
Version: 1.0
Created at 9/9/2019 10:10 AM by serena.roche@gmail.com[CASMSTS:username]
Last modified at 10/25/2019 12:23 PM by serena.roche@gmail.com[CASMSTS:username]