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Intro to Data Science for Business and Finance (Advanced Python)

Wednesday, June 12 - Thursday, June 13

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Registration for any event with a start date after Sept. 28 now requires a CFA Institute account.

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Cvent Transition Guide ⭢

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. This prerequisite Python course takes attendees, on average, 8-10 hours to complete and does not need to be completed in one sitting.

Overview

A two-day virtual course, Presented by Cognitir.

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.

Specific areas in finance where the 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.

Member

$419
if registered by 05/12

Non-Member

$519
if registered by 05/12

3 Course Bundle

$128915
if registered by 05/12

3 Course Bundle

$157799
if registered by 05/12

5% discount when purchasing 3 course Cognitir bundle!

Course Curriculum
Course Developers
About Cognitir

Additional Details

Who Is This For

This course is relevant for professionals who want to gain a hands-on introduction to essential data science methods that are utilized in finance and fintech.

Prerequisites

Please note that you must have introductory Python programming skills before attending this workshop.

Cognitir offers an online Introduction to Python course that you can enroll in and complete if you don’t have basic Python skills. Our specific
introductory Python course is not required; any introductory course is fine.

What This Course Offers

  • An overview of data science methods relevant to finance and fintech
  • Explanation of the hype around data science, machine learning & big data
  • Hands-on Python programming experience
  • Understanding of effective data visualization techniques using Python
  • Course notes, certificate of completion, and post-seminar email support for 1 year
  • An engaging and practical training approach with a qualified instructor with relevant technical, business, and educational experiences

Sponsorship Overview

For over 80 years, CFA Society New York—formerly known as New York Society of Security Analysts (NYSSA)—has been a leading forum for the exchange of information among investment professionals. Our mission is to raise standards of practice in the industry for the ultimate benefit of society. Towards that goal, CFA Society New York content is curated by volunteer practitioner interest groups that strive to shape the future of the industry. A bold line exists between the financial support by organizations to maintain the quality of our programming and the selection of speakers who contribute to dialogue in our community. To that end, a ceaseless commitment to transparency is something we consider foundational to our cause.

Please be advised of the following information related to Society sponsorship and support:

Through financial support and other means of in-kind support, each event sponsor, event partner, event co-host and organizational partner of CFA Society New York plays a valuable role in the furtherance of the range of forward-thinking initiatives that underpin the Society’s values, and toward our mission to deliver Society content and programming of the highest quality and standard.

CFA Society New York thanks all of its sponsors, event-related affiliates and organizational partners for helping us continue to shape the conversation of the investment community.

Legal Notice and Disclaimer

CFA Society New York (including its employees and agents) assumes no responsibility for presenters or consequences resulting from the use of information or content of such information presented, including (but not limited to) errors or omissions, the accuracy or reasonableness of factual or scientific assumptions, studies or conclusions, the defamatory nature of statements, ownership of copyright or other intellectual property rights, and the violation of property, privacy, or personal rights of others. The CFA Society New York is not responsible for, and expressly disclaims all liability for, damages of any kind arising out of use, reference to, or reliance on such information. No guarantees or warranties, including (but not limited to) any express or implied warranties of merchantability or fitness for a particular use or purpose, are made by CFA Society New York with respect to such information. CFA Society New York does not endorse, approve, or certify such information, nor does it guarantee the accuracy, completeness, efficacy, timeliness, or correct sequencing of such information. All presentations represent the opinions of the presenters and do not represent the position or the opinion of CFA Society New York or its members. Reference by the presenters to any specific commercial product, process or service by trade name, trademark, service mark, manufacturer, and corporation or otherwise does not constitute or imply 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.

Inclement weather

CFANY reserves the right to cancel or reschedule all in-person events within 48 hours when inclement weather has been forecasted and travel is restricted by city officials.  The program may also be produced solely via livestream in such circumstances.  Please note the cancellation policy regarding refunds and substitutions.

Refunds, Cancellations, and Substitutions

  • 72 HOURS ADVANCED NOTICE OR MORE:
    • Full refund issued
  • WITHIN 48 HOURS OR AFTER EVENT HAS STARTED:
    • No refund

All requests for cancellation or refunds must be sent to seminars@cfany.org.

More

CFA Society New York, Inc. (“CFA NY”) is not a Registered Investment Advisor, Broker/Dealer, Financial Analyst, Financial Bank, Securities Broker, or Financial Planner. While CFA NY seeks to present accurate and reliable information, CFA Society New York 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 CFA Society New York has no duty to update and maintain the information, reports, or statements made during events.

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.