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Introduction to Data Science and Python for Finance

Introduction to Data Science and Python for Finance

Friday, August 10

Course Curriculum
Course Content Developers
Register to Attend

Please note that you must have taken an introductory Python programming course before attending this workshop. Cognitir will recommend a free, online Python course to participants, but this online course must be completed before the start of this data science workshop.

Fees

Members | $520 (20% discount)
Nonmembers | $649

 

Location

CFANY Conference Center
1540 Broadway – Suite 1010
New York, N.Y. 10036

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. As a result, financial companies have been on an
innovation and technology push to create new, disruptive technologies that can maximize use of the these data assets to solve some of the industry’s toughest problems.

This one-day, hands-on course provides a structured teaching environment where students learn classic data science methods, which are used as the bases for many financial technologies. At the end of the workshop, course participants will have applied the Python programming language and essential data science techniques to solve complex finance problems.

What This Course Offers

  •  An overview of data science methods relevant to finance and fintech
  • Hands-on Python programming experience
  •  Understanding of effective data visualization techniques using Python
  • Course notes, certificate of completion, and post-seminar email support for 3 months
  • An engaging and practical training approach with a qualified instructor with relevant
    technical, business, and educational experiences
  •  A Computer Science 101 pre-course webinar
Cognitir, a global data science training company, is coming to CFA Society New York on August 10th to deliver a one-day, programming-based introductory data science workshop. In this course, participants will use the Python programming language to execute foundational data science tasks on different finance and economics datasets. By the end, participants will be able to import their own data sets and commence the data science process.

This training course will allow you to hit the ground running with executing core data tasks through Python. Cognitir also provides 6 months of email support to attendees as well as a certificate of completion and membership to Cognitir’s growing global alumni network.

Level: Beginner

Prerequisite: Introductory Python Programming Course
Duration: 1 Day

Email: info@cognitir.com
Phone: +1 908 505 5991 (US) | +44 75 0686 49 85 (UK)

DISCLAIMER OF ENDORSEMENT

References herein to any specific sponsor or service do not necessarily constitute or imply the endorsement, recommendation or favoring by CFA Society New York. CFA Society New York strives to be a community for diverse opinions and differing perspectives, and the views and opinions expressed by speakers, presenters and/or organizers at events do not necessarily state or reflect those of CFA Society New York.

CFA Society New York expects all attendees to comply with CFA Society New York’s Code of Conduct while attending CFA Society New York events or meetings. CFA Society New York expressly reserves the right, in its sole discretion, to grant or deny access to any individual, or to expel any individual from any CFA Society New York event or meeting.

CFA Society New York (“CFANY”) is not a Registered Investment Advisor, Broker/Dealer, Financial Analyst, Financial Bank, Securities Broker, or Financial Planner. While CFANY seeks to present accurate and reliable information, CFANY does not endorse, approve, or certify such information, nor does it warrant or guarantee the accuracy, completeness, efficacy, timeliness, or fitness of such information for any particular purpose. Information presented may or may not be current as of the date of the presentation, and CFANY has no duty to update and maintain the information, reports, or statements made during events. CFA Society New York specifically disclaims any such express or implied warranties. CFA Society New York and its affiliates, agents, and licensors will not be liable to you or anyone else for any loss or injury, caused in whole or in part by their negligence of contingencies beyond their control in procuring, compiling, reporting interpreting or delivering the information. In no event will CFA Society New York and its affiliates, agents, and licensors be liable to you or anyone else for any damages, including but not limited to consequential, special, indirect and incidental damages, even if advised of the possibility of such damages.

The information presented is provided for information purposes only, and is not intended to be and does not constitute financial advice, investment advice, trading advice, or any other advice, is general in nature, and is not specific to you. None of the information presented is intended as an offer or solicitation of an offer to buy or sell, or as a recommendation, endorsement, or sponsorship of any security, company, or fund. CFANY is not responsible for any investment decision made by you.

You should not make any financial, investment, trading or other decision based upon any of the information presented at CFANY without undertaking your own independent due diligence and consulting with a qualified and registered securities professional. You understand that your use of any of the information presented at CFANY is at your own risk.

There is a substantial amount of risk in trading securities, and the possibility exists that you can lose all, most or a portion of your capital. CFANY does not, cannot, and will not assess or guarantee the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The securities mentioned in any CFANY presentation may not be suitable for investors depending on their specific investment objectives and financial condition.

All requests for Withdrawals must be submitted in writing and dated. The date of the request will be the date it is received by CFANY. Requests may be faxed to (212) 541-4677, or emailed to seminars@cfany.org.

Withdrawals from events, live or streaming, are subject to the following policy:

  • 24 HOURS ADVANCED NOTICE OR MORE: Credit to be issued (to be used within 6 months)
  • LESS THAN 24 HOURS OR AFTER EVENT HAS STARTED: No refund

For more information: Policies and Procedures