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FinTech Summer Program NYC (High School)

Dive into the world of finance, investing, and data science in NYC through a specialized summer program for high school students. Become skilled in Microsoft Excel, stock market concepts, and Python coding so you can gain a competitive edge in future career opportunities. Unlock the keys to financial analysis and data manipulation through this interactive, thorough course.

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  • 13 - 18 years old
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  • 185 Madison Ave, New York, NY
  • 84 hours over 14 sessions

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Start Dates (2) $3,495/person

Show all 14 sessions
  • Mon, Jun 28 at 10:00am - 4:00pm
  • Tue, Jun 29 at 10:00am - 4:00pm
  • Wed, Jun 30 at 10:00am - 4:00pm
  • Thu, Jul 01 at 10:00am - 4:00pm
  • Fri, Jul 02 at 10:00am - 4:00pm
  • Mon, Jul 19 at 10:00am - 4:00pm
  • Tue, Jul 20 at 10:00am - 4:00pm
  • Wed, Jul 21 at 10:00am - 4:00pm
  • Thu, Jul 22 at 10:00am - 4:00pm
  • Fri, Jul 23 at 10:00am - 4:00pm
  • Mon, Jul 26 at 10:00am - 4:00pm
  • Tue, Jul 27 at 10:00am - 4:00pm
  • Wed, Jul 28 at 10:00am - 4:00pm
  • Thu, Jul 29 at 10:00am - 4:00pm
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Show all 14 sessions
  • Mon, Jul 19 at 10:00am - 4:00pm
  • Tue, Jul 20 at 10:00am - 4:00pm
  • Wed, Jul 21 at 10:00am - 4:00pm
  • Thu, Jul 22 at 10:00am - 4:00pm
  • Fri, Jul 23 at 10:00am - 4:00pm
  • Mon, Jul 26 at 10:00am - 4:00pm
  • Tue, Jul 27 at 10:00am - 4:00pm
  • Wed, Jul 28 at 10:00am - 4:00pm
  • Thu, Jul 29 at 10:00am - 4:00pm
  • Mon, Aug 09 at 10:00am - 4:00pm
  • Tue, Aug 10 at 10:00am - 4:00pm
  • Wed, Aug 11 at 10:00am - 4:00pm
  • Thu, Aug 12 at 10:00am - 4:00pm
  • Fri, Aug 13 at 10:00am - 4:00pm
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Class Description

Description

This summer, high school students in NYC can get a head start on their financial future by learning Microsoft Excel, the fundamentals of finance and stock market investing, and the essentials of Python programming for data science.

This beginner-friendly program covers the most in-demand skills for today's competitive college and career environment. Students gain hands-on experience with tools and concepts that give them a real advantage in college coursework, internship applications, and entry-level professional roles across finance, business, real estate, entrepreneurship, and technology.

The first half of the program focuses on building Excel proficiency and financial literacy. The second half introduces Python programming and data science, equipping students with the analytical and technical skills that define today's data-driven economy.

Excel
Become a confident Microsoft Excel user over the course of three intensive days. Start with the essentials: data entry, charts, and must-know keyboard shortcuts in Excel Fundamentals. Progress into Intermediate Excel with Pivot Tables and VLOOKUP. Reach Advanced Excel by learning to automate repetitive tasks through macro recording. By the end, students have the Excel fluency that employers across every industry actively seek.

Finance and Investing
Understand what drives stock prices and how professional investors evaluate companies. This section covers the core principles of investment analysis, including P/E ratios, discounted cash flow (DCF) analysis, and financial statement interpretation. Students will examine actual earnings releases and valuation metrics from companies like Google and Apple, learning to apply a framework used by real-world investment researchers.

Python for Data Science
The program concludes with an introduction to Python programming and its applications in data science and machine learning. Students get up and running quickly and learn to work with Pandas, Matplotlib, and Scikit-learn to import, clean, analyze, and visualize data sets.

Learn more about the FinTech Summer Program at NextGen Bootcamp.

Refund Policy

  • Registration Fee: All courses include a non-refundable registration fee of 10%.
  • Cancellations: Students may cancel up to seven business days prior to the course and receive all monies paid, less the non-refundable registration fee. Cancellation requests within the policy should be made directly to CourseHorse.
  • Rescheduling: Students may reschedule once up to three business days prior to the start date of the course at no charge. Reschedules within three business days incur a $20 rescheduling fee. Reschedule requests should be emailed to [email protected].

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