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FinTech Bootcamp

Prepare for a career in the growing field of FinTech through this comprehensive program covering in-demand data science and financial technology skills. Build the knowledge and expertise needed to thrive in roles such as Financial Analyst and Data Scientist.

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  • 18 and older
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Start Dates (20) $4,995/person

Show all 19 sessions
  • Mon, Oct 26 at 10:00am - 5:00pm
  • Tue, Oct 27 at 10:00am - 5:00pm
  • Wed, Oct 28 at 10:00am - 5:00pm
  • Mon, Nov 02 at 10:00am - 5:00pm
  • Tue, Nov 03 at 10:00am - 5:00pm
  • Wed, Nov 04 at 10:00am - 5:00pm
  • Thu, Nov 05 at 10:00am - 5:00pm
  • Fri, Nov 06 at 10:00am - 5:00pm
  • Mon, Nov 09 at 10:00am - 5:00pm
  • Tue, Nov 10 at 10:00am - 5:00pm
  • Wed, Nov 11 at 10:00am - 5:00pm
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  • Fri, Nov 13 at 10:00am - 5:00pm
  • Mon, Nov 16 at 10:00am - 5:00pm
  • Tue, Nov 17 at 10:00am - 5:00pm
  • Wed, Nov 18 at 10:00am - 5:00pm
  • Thu, Nov 19 at 10:00am - 5:00pm
  • Fri, Nov 20 at 10:00am - 5:00pm
  • Mon, Nov 23 at 10:00am - 5:00pm
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Show all 36 sessions
  • Tue, Oct 27 at 6:00pm - 9:00pm
  • Thu, Oct 29 at 6:00pm - 9:00pm
  • Tue, Nov 03 at 6:00pm - 9:00pm
  • Thu, Nov 05 at 6:00pm - 9:00pm
  • Tue, Nov 10 at 6:00pm - 9:00pm
  • Thu, Nov 12 at 6:00pm - 9:00pm
  • Tue, Nov 17 at 6:00pm - 9:00pm
  • Thu, Nov 19 at 6:00pm - 9:00pm
  • Tue, Nov 24 at 6:00pm - 9:00pm
  • Tue, Dec 01 at 6:00pm - 9:00pm
  • Thu, Dec 03 at 6:00pm - 9:00pm
  • Tue, Dec 08 at 6:00pm - 9:00pm
  • Thu, Dec 10 at 6:00pm - 9:00pm
  • Tue, Dec 15 at 6:00pm - 9:00pm
  • Thu, Dec 17 at 6:00pm - 9:00pm
  • Tue, Dec 22 at 6:00pm - 9:00pm
  • Tue, Dec 29 at 6:00pm - 9:00pm
  • Tue, Jan 05 at 6:00pm - 9:00pm
  • Thu, Jan 07 at 6:00pm - 9:00pm
  • Tue, Jan 12 at 6:00pm - 9:00pm
  • Thu, Jan 14 at 6:00pm - 9:00pm
  • Tue, Jan 19 at 6:00pm - 9:00pm
  • Thu, Jan 21 at 6:00pm - 9:00pm
  • Tue, Jan 26 at 6:00pm - 9:00pm
  • Thu, Jan 28 at 6:00pm - 9:00pm
  • Tue, Feb 02 at 6:00pm - 9:00pm
  • Thu, Feb 04 at 6:00pm - 9:00pm
  • Tue, Feb 09 at 6:00pm - 9:00pm
  • Thu, Feb 11 at 6:00pm - 9:00pm
  • Tue, Feb 16 at 6:00pm - 9:00pm
  • Thu, Feb 18 at 6:00pm - 9:00pm
  • Tue, Feb 23 at 6:00pm - 9:00pm
  • Thu, Feb 25 at 6:00pm - 9:00pm
  • Tue, Mar 02 at 6:00pm - 9:00pm
  • Thu, Mar 04 at 6:00pm - 9:00pm
  • Tue, Mar 09 at 6:00pm - 9:00pm
20 left
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Show all 18 sessions
  • Sun, Nov 15 at 10:00am - 5:00pm
  • Sun, Nov 22 at 10:00am - 5:00pm
  • Sun, Dec 06 at 10:00am - 5:00pm
  • Sun, Dec 13 at 10:00am - 5:00pm
  • Sun, Dec 20 at 10:00am - 5:00pm
  • Sun, Dec 27 at 10:00am - 5:00pm
  • Sun, Jan 03 at 10:00am - 5:00pm
  • Sun, Jan 10 at 10:00am - 5:00pm
  • Sun, Jan 17 at 10:00am - 5:00pm
  • Sun, Jan 24 at 10:00am - 5:00pm
  • Sun, Jan 31 at 10:00am - 5:00pm
  • Sun, Feb 07 at 10:00am - 5:00pm
  • Sun, Feb 21 at 10:00am - 5:00pm
  • Sun, Feb 28 at 10:00am - 5:00pm
  • Sun, Mar 07 at 10:00am - 5:00pm
  • Sun, Mar 14 at 10:00am - 5:00pm
  • Sun, Mar 21 at 10:00am - 5:00pm
  • Sun, Mar 28 at 10:00am - 5:00pm
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Show all 19 sessions
  • Mon, Nov 23 at 10:00am - 5:00pm
  • Tue, Nov 24 at 10:00am - 5:00pm
  • Wed, Nov 25 at 10:00am - 5:00pm
  • Mon, Nov 30 at 10:00am - 5:00pm
  • Tue, Dec 01 at 10:00am - 5:00pm
  • Wed, Dec 02 at 10:00am - 5:00pm
  • Thu, Dec 03 at 10:00am - 5:00pm
  • Fri, Dec 04 at 10:00am - 5:00pm
  • Mon, Dec 07 at 10:00am - 5:00pm
  • Tue, Dec 08 at 10:00am - 5:00pm
  • Wed, Dec 09 at 10:00am - 5:00pm
  • Thu, Dec 10 at 10:00am - 5:00pm
  • Fri, Dec 11 at 10:00am - 5:00pm
  • Mon, Dec 14 at 10:00am - 5:00pm
  • Tue, Dec 15 at 10:00am - 5:00pm
  • Wed, Dec 16 at 10:00am - 5:00pm
  • Thu, Dec 17 at 10:00am - 5:00pm
  • Fri, Dec 18 at 10:00am - 5:00pm
  • Mon, Dec 21 at 10:00am - 5:00pm
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Show all 18 sessions
  • Tue, Jan 19 at 10:00am - 5:00pm
  • Wed, Jan 20 at 10:00am - 5:00pm
  • Thu, Jan 21 at 10:00am - 5:00pm
  • Mon, Jan 25 at 10:00am - 5:00pm
  • Tue, Jan 26 at 10:00am - 5:00pm
  • Wed, Jan 27 at 10:00am - 5:00pm
  • Thu, Jan 28 at 10:00am - 5:00pm
  • Fri, Jan 29 at 10:00am - 5:00pm
  • Mon, Feb 01 at 10:00am - 5:00pm
  • Tue, Feb 02 at 10:00am - 5:00pm
  • Wed, Feb 03 at 10:00am - 5:00pm
  • Thu, Feb 04 at 10:00am - 5:00pm
  • Fri, Feb 05 at 10:00am - 5:00pm
  • Mon, Feb 08 at 10:00am - 5:00pm
  • Tue, Feb 09 at 10:00am - 5:00pm
  • Wed, Feb 10 at 10:00am - 5:00pm
  • Thu, Feb 11 at 10:00am - 5:00pm
  • Fri, Feb 12 at 10:00am - 5:00pm
20 left
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Class Description

Description

Prepare yourself for entry-level opportunities in data science and financial technology sectors. The FinTech Bootcamp furnishes essential programming and data analytical capabilities that prepare you for roles such as Financial Analyst, Data Scientist, or similar positions in the financial industry. Financial technology has become an increasingly significant segment of the financial services sector, and professionals possessing FinTech expertise command significant market demand.

Learn In-Demand Data and Finance Skills

Commence your education by mastering Python fundamentals alongside data science concepts, including data type classification and data structure management. You'll develop SQL proficiency to interrogate databases and extract needed information. Furthermore, you'll acquire Python capabilities for constructing interactive dashboards and creating data visualizations for presentations and stakeholder communication. You'll then progress to building sophisticated predictive models employing machine learning techniques and completing a comprehensive final project. Subsequently, you'll investigate specialized Python libraries and methodologies designed specifically for financial analysis, including SEC filing examination, stock market valuation, portfolio administration and oversight, investment risk quantification, and essential financial performance indicators.

Open to Beginners

This program welcomes learners with minimal prior exposure to Python programming, coding fundamentals, data science principles, or visualization creation. Participants should, however, demonstrate familiarity with foundational financial concepts including Net Present Value calculations (NPV), Internal Rate of Return (IRR), financial statement construction, and basic stock market principles. Individuals lacking finance experience should reach out following registration to obtain complimentary supplementary learning resources covering essential finance topics.

Learn more about the FinTech Bootcamp at NYC Career Centers.

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Also available in-person in NYC

Refund Policy

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price).
  • Cancellations within 11 business days are not permitted, but students may reschedule up to 4 business days before the class start date.

For cancellations and reschedules, please email us at [email protected]

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NYC Career Centers

Career Centers is a premier provider of software training courses for individuals and businesses. With a wide range of offerings and a state-of-the-art training facility in NYC, they offer instructor-led classes, corporate training, and room rentals.

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NYC Career Centers
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