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FinTech Bootcamp

at Practical Programming - Flatbush - Ditmas Park

Course Details
Price $4,995
Start Date
Location Flatbush - Ditmas Park, Brooklyn
Live Online Webinar
New York, New York 10001
(Map)
Important
Class Level All levels
Age Requirements 18 and older
Average Class Size 25
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Start Dates (12)

Live Online Webinar
Live Online Webinar, New York, NY
TBD
$4,995
Book
Show all 38 sessions
  • Thu, Dec 14 at 6:00pm - 9:00pm
  • Tue, Dec 19 at 6:00pm - 9:00pm
  • Thu, Dec 21 at 6:00pm - 9:00pm
  • Tue, Jan 02 at 6:00pm - 9:00pm
  • Thu, Jan 04 at 6:00pm - 9:00pm
  • Tue, Jan 09 at 6:00pm - 9:00pm
  • Tue, Jan 16 at 6:00pm - 9:00pm
  • Thu, Jan 18 at 6:00pm - 9:00pm
  • Tue, Jan 23 at 6:00pm - 9:00pm
  • Thu, Jan 25 at 6:00pm - 9:00pm
  • Tue, Jan 30 at 6:00pm - 9:00pm
  • Thu, Feb 01 at 6:00pm - 9:00pm
  • Tue, Feb 06 at 6:00pm - 9:00pm
  • Thu, Feb 08 at 6:00pm - 9:00pm
  • Tue, Feb 13 at 6:00pm - 9:00pm
  • Thu, Feb 15 at 6:00pm - 9:00pm
  • Tue, Feb 20 at 6:00pm - 9:00pm
  • Thu, Feb 22 at 6:00pm - 9:00pm
  • Tue, Feb 27 at 6:00pm - 9:00pm
  • Thu, Feb 29 at 6:00pm - 9:00pm
  • Tue, Mar 05 at 6:00pm - 9:00pm
  • Thu, Mar 07 at 6:00pm - 9:00pm
  • Tue, Mar 12 at 6:00pm - 9:00pm
  • Thu, Mar 14 at 6:00pm - 9:00pm
  • Tue, Mar 19 at 6:00pm - 9:00pm
  • Thu, Mar 21 at 6:00pm - 9:00pm
  • Tue, Mar 26 at 6:00pm - 9:00pm
  • Thu, Mar 28 at 6:00pm - 9:00pm
  • Tue, Apr 02 at 6:00pm - 9:00pm
  • Thu, Apr 04 at 6:00pm - 9:00pm
  • Tue, Apr 09 at 6:00pm - 9:00pm
  • Thu, Apr 11 at 6:00pm - 9:00pm
  • Tue, Apr 16 at 6:00pm - 9:00pm
  • Thu, Apr 18 at 6:00pm - 9:00pm
  • Thu, Apr 25 at 6:00pm - 9:00pm
  • Tue, Apr 30 at 6:00pm - 9:00pm
  • Thu, May 02 at 6:00pm - 9:00pm
  • Tue, May 07 at 6:00pm - 9:00pm
Live Online Webinar
Live Online Webinar, New York, NY
TBD
$4,995
Book
Show all 19 sessions
  • Tue, Jan 16 at 10:00am - 5:00pm
  • Wed, Jan 17 at 10:00am - 5:00pm
  • Thu, Jan 18 at 10:00am - 5:00pm
  • Mon, Jan 22 at 10:00am - 5:00pm
  • Tue, Jan 23 at 10:00am - 5:00pm
  • Wed, Jan 24 at 10:00am - 5:00pm
  • Thu, Jan 25 at 10:00am - 5:00pm
  • Fri, Jan 26 at 10:00am - 5:00pm
  • Mon, Jan 29 at 10:00am - 5:00pm
  • Tue, Jan 30 at 10:00am - 5:00pm
  • Wed, Jan 31 at 10:00am - 5:00pm
  • Thu, Feb 01 at 10:00am - 5:00pm
  • Mon, Feb 05 at 10:00am - 5:00pm
  • Tue, Feb 06 at 10:00am - 5:00pm
  • Wed, Feb 07 at 10:00am - 5:00pm
  • Thu, Feb 08 at 10:00am - 5:00pm
  • Fri, Feb 09 at 10:00am - 5:00pm
  • Tue, Feb 13 at 10:00am - 5:00pm
  • Wed, Feb 14 at 10:00am - 5:00pm
Live Online Webinar
Live Online Webinar, New York, NY
TBD
$4,995
Book
Show all 18 sessions
  • Sat, Mar 09 at 10:00am - 5:00pm
  • Sat, Mar 16 at 10:00am - 5:00pm
  • Sat, Mar 23 at 10:00am - 5:00pm
  • Sat, Mar 30 at 10:00am - 5:00pm
  • Sat, Apr 06 at 10:00am - 5:00pm
  • Sat, Apr 13 at 10:00am - 5:00pm
  • Sat, Apr 20 at 10:00am - 5:00pm
  • Sat, Apr 27 at 10:00am - 5:00pm
  • Sat, May 04 at 10:00am - 5:00pm
  • Sat, May 11 at 10:00am - 5:00pm
  • Sat, May 18 at 10:00am - 5:00pm
  • Sat, Jun 01 at 10:00am - 5:00pm
  • Sat, Jun 08 at 10:00am - 5:00pm
  • Sat, Jun 15 at 10:00am - 5:00pm
  • Sat, Jun 22 at 10:00am - 5:00pm
  • Sat, Jun 29 at 10:00am - 5:00pm
  • Sat, Jul 13 at 10:00am - 5:00pm
  • Sat, Jul 20 at 10:00am - 5:00pm
Live Online Webinar
Live Online Webinar, New York, NY
TBD
$4,995
Book
Show all 19 sessions
  • Mon, Mar 11 at 10:00am - 5:00pm
  • Tue, Mar 12 at 10:00am - 5:00pm
  • Wed, Mar 13 at 10:00am - 5:00pm
  • Mon, Mar 18 at 10:00am - 5:00pm
  • Tue, Mar 19 at 10:00am - 5:00pm
  • Wed, Mar 20 at 10:00am - 5:00pm
  • Thu, Mar 21 at 10:00am - 5:00pm
  • Fri, Mar 22 at 10:00am - 5:00pm
  • Mon, Mar 25 at 10:00am - 5:00pm
  • Tue, Mar 26 at 10:00am - 5:00pm
  • Wed, Mar 27 at 10:00am - 5:00pm
  • Thu, Mar 28 at 10:00am - 5:00pm
  • Mon, Apr 01 at 10:00am - 5:00pm
  • Tue, Apr 02 at 10:00am - 5:00pm
  • Wed, Apr 03 at 10:00am - 5:00pm
  • Thu, Apr 04 at 10:00am - 5:00pm
  • Fri, Apr 05 at 10:00am - 5:00pm
  • Mon, Apr 08 at 10:00am - 5:00pm
  • Tue, Apr 09 at 10:00am - 5:00pm
Live Online Webinar
Live Online Webinar, New York, NY
TBD
$4,995
Book
Show all 36 sessions
  • Wed, Mar 27 at 6:00pm - 9:00pm
  • Mon, Apr 01 at 6:00pm - 9:00pm
  • Wed, Apr 03 at 6:00pm - 9:00pm
  • Mon, Apr 08 at 6:00pm - 9:00pm
  • Wed, Apr 10 at 6:00pm - 9:00pm
  • Mon, Apr 15 at 6:00pm - 9:00pm
  • Wed, Apr 17 at 6:00pm - 9:00pm
  • Wed, Apr 24 at 6:00pm - 9:00pm
  • Wed, May 01 at 6:00pm - 9:00pm
  • Mon, May 06 at 6:00pm - 9:00pm
  • Wed, May 08 at 6:00pm - 9:00pm
  • Mon, May 13 at 6:00pm - 9:00pm
  • Wed, May 15 at 6:00pm - 9:00pm
  • Mon, May 20 at 6:00pm - 9:00pm
  • Wed, May 22 at 6:00pm - 9:00pm
  • Wed, May 29 at 6:00pm - 9:00pm
  • Mon, Jun 03 at 6:00pm - 9:00pm
  • Wed, Jun 05 at 6:00pm - 9:00pm
  • Mon, Jun 10 at 6:00pm - 9:00pm
  • Wed, Jun 12 at 6:00pm - 9:00pm
  • Mon, Jun 17 at 6:00pm - 9:00pm
  • Mon, Jun 24 at 6:00pm - 9:00pm
  • Wed, Jun 26 at 6:00pm - 9:00pm
  • Mon, Jul 01 at 6:00pm - 9:00pm
  • Mon, Jul 08 at 6:00pm - 9:00pm
  • Wed, Jul 10 at 6:00pm - 9:00pm
  • Mon, Jul 15 at 6:00pm - 9:00pm
  • Wed, Jul 17 at 6:00pm - 9:00pm
  • Mon, Jul 22 at 6:00pm - 9:00pm
  • Wed, Jul 24 at 6:00pm - 9:00pm
  • Mon, Jul 29 at 6:00pm - 9:00pm
  • Wed, Jul 31 at 6:00pm - 9:00pm
  • Mon, Aug 05 at 6:00pm - 9:00pm
  • Wed, Aug 07 at 6:00pm - 9:00pm
  • Mon, Aug 12 at 6:00pm - 9:00pm
  • Wed, Aug 14 at 6:00pm - 9:00pm
Live Online Webinar
Live Online Webinar, New York, NY
TBD
$4,995
Book
Show all 18 sessions
  • Tue, Jun 11 at 10:00am - 5:00pm
  • Wed, Jun 12 at 10:00am - 5:00pm
  • Thu, Jun 13 at 10:00am - 5:00pm
  • Fri, Jun 14 at 10:00am - 5:00pm
  • Mon, Jun 17 at 10:00am - 5:00pm
  • Tue, Jun 18 at 10:00am - 5:00pm
  • Thu, Jun 20 at 10:00am - 5:00pm
  • Fri, Jun 21 at 10:00am - 5:00pm
  • Mon, Jun 24 at 10:00am - 5:00pm
  • Tue, Jun 25 at 10:00am - 5:00pm
  • Wed, Jun 26 at 10:00am - 5:00pm
  • Thu, Jun 27 at 10:00am - 5:00pm
  • Fri, Jun 28 at 10:00am - 5:00pm
  • Mon, Jul 08 at 10:00am - 5:00pm
  • Tue, Jul 09 at 10:00am - 5:00pm
  • Wed, Jul 10 at 10:00am - 5:00pm
  • Thu, Jul 11 at 10:00am - 5:00pm
  • Fri, Jul 12 at 10:00am - 5:00pm
Live Online Webinar
Live Online Webinar, New York, NY
TBD
$4,995
Book
Show all 19 sessions
  • Tue, Jun 11 at 10:00am - 5:00pm
  • Wed, Jun 12 at 10:00am - 5:00pm
  • Thu, Jun 13 at 10:00am - 5:00pm
  • Fri, Jun 14 at 10:00am - 5:00pm
  • Mon, Jun 17 at 10:00am - 5:00pm
  • Tue, Jun 18 at 10:00am - 5:00pm
  • Thu, Jun 20 at 10:00am - 5:00pm
  • Fri, Jun 21 at 10:00am - 5:00pm
  • Mon, Jun 24 at 10:00am - 5:00pm
  • Tue, Jun 25 at 10:00am - 5:00pm
  • Wed, Jun 26 at 10:00am - 5:00pm
  • Thu, Jun 27 at 10:00am - 5:00pm
  • Fri, Jun 28 at 10:00am - 5:00pm
  • Mon, Jul 01 at 10:00am - 5:00pm
  • Mon, Jul 08 at 10:00am - 5:00pm
  • Tue, Jul 09 at 10:00am - 5:00pm
  • Wed, Jul 10 at 10:00am - 5:00pm
  • Thu, Jul 11 at 10:00am - 5:00pm
  • Fri, Jul 12 at 10:00am - 5:00pm
Live Online Webinar
Live Online Webinar, New York, NY
TBD
$4,995
Book
Show all 18 sessions
  • Tue, Jun 11 at 10:00am - 5:00pm
  • Wed, Jun 12 at 10:00am - 5:00pm
  • Thu, Jun 13 at 10:00am - 5:00pm
  • Fri, Jun 14 at 10:00am - 5:00pm
  • Mon, Jun 17 at 10:00am - 5:00pm
  • Tue, Jun 18 at 10:00am - 5:00pm
  • Thu, Jun 20 at 10:00am - 5:00pm
  • Fri, Jun 21 at 10:00am - 5:00pm
  • Mon, Jun 24 at 10:00am - 5:00pm
  • Tue, Jun 25 at 10:00am - 5:00pm
  • Wed, Jun 26 at 10:00am - 5:00pm
  • Thu, Jun 27 at 10:00am - 5:00pm
  • Fri, Jun 28 at 10:00am - 5:00pm
  • Mon, Jul 01 at 10:00am - 5:00pm
  • Tue, Jul 02 at 10:00am - 5:00pm
  • Mon, Jul 08 at 10:00am - 5:00pm
  • Tue, Jul 09 at 10:00am - 5:00pm
  • Wed, Jul 10 at 10:00am - 5:00pm
Live Online Webinar
Live Online Webinar, New York, NY
TBD
$4,995
Book
Show all 18 sessions
  • Tue, Jun 11 at 10:00am - 5:00pm
  • Wed, Jun 12 at 10:00am - 5:00pm
  • Thu, Jun 13 at 10:00am - 5:00pm
  • Fri, Jun 14 at 10:00am - 5:00pm
  • Mon, Jun 17 at 10:00am - 5:00pm
  • Tue, Jun 18 at 10:00am - 5:00pm
  • Thu, Jun 20 at 10:00am - 5:00pm
  • Fri, Jun 21 at 10:00am - 5:00pm
  • Mon, Jun 24 at 10:00am - 5:00pm
  • Tue, Jun 25 at 10:00am - 5:00pm
  • Wed, Jun 26 at 10:00am - 5:00pm
  • Thu, Jun 27 at 10:00am - 5:00pm
  • Fri, Jun 28 at 10:00am - 5:00pm
  • Mon, Jul 01 at 10:00am - 5:00pm
  • Tue, Jul 02 at 10:00am - 5:00pm
  • Mon, Jul 08 at 10:00am - 5:00pm
  • Tue, Jul 09 at 10:00am - 5:00pm
  • Wed, Jul 10 at 10:00am - 5:00pm
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Class Description

Description

What you'll learn in this coding class:

In this certificate, students will learn how to use Python to pull, clean, analyze, visualize, and eventually predict off financial data.  This program prepares students for entry-level positions in data science and financial technology as well as upskills any financial analyst. 

Master Advanced Python to Analyze Financial Data 
Learn Python with an emphasis on data extraction, analysis, and visualization. Master the intricacies of the Python language, including a deep understanding of Python libraries of NumPy, Pandas, Matplotlib. 

Use Machine Learning to Build Financial Models
Learn how to apply advanced statistical concepts such as regression to build a predictive returns model on real-world financial data. Understand pivotal financial ratios and apply machine learning techniques to build valuation models.

Algorithmic Trading using Python 
Learn how to build robust and automated trading strategies without needing to spend hours a day overseeing their portfolio. Master trading strategies such as exponential moving average (EMA), Moving Average Convergence Divergence (MACD), and backtesting. 

What You’ll Learn

  • Python: Handling different types of data, such as integers, floats, and strings
  • Python: Analyze tabular data with Numpy and Pandas and graph the results using Matplotlib
  • Python: Learn how to pull data from multiple sources 
  • Machine Learning: Learn how to analyze a financial statement  using Python 
  • Machine Learning: Learn financial topics such as WACC, NPV, IRR
  • Machine Learning: Learn how to build predictive models for internal budgeting 
  • Algorithmic Trading: Learn how to use Pyhton to automate trading 
  • Algorithmic Trading: Learn commonly used trading strategies 

Courses in the Certificate Program

This is the recommended order, but some courses may be taken in a different order

Python for Finance Immersive

Upskill and take your finance skills to the next level with this Python for Finance class. You'll learn to analyze large amounts of financial data using Python, create visualizations, and start using statistics for predictive modeling. 

Machine Learning & Automation for Finance

This course will begin with advanced Python and statistic topics such as object-orientated programming and regression models. After learning this first module, students will learn how to apply these concepts using real-world financial data by building a predictive returns model using regression.

The next section of the course will introduce students to important financial statements and ratios. After students learn these financial concepts, they will be introduced on how to pull data from these statements and compute these important financial ratios using Python

Algorithmic Trading with Python

As people get busier and busier, we want to automate as much as we can day to day including our investments. Using Python, this class will teach you how to build robust and automated trading strategies without needing to spend hours a day overseeing their portfolio. Students learn how to connect their Python scripts with an online trading brokerage, how to place and query stock orders, and are introduced to Machine learning as it applies to properly value an Option.


Learn more about FinTech Bootcamp at Practical Programming.


Refund Policy

To reschedule or cancel, email us at [email protected]

All courses include a non-refundable registration fee (10% of the undiscounted course price).

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee.
  • Cancellations within 11 business days are not permitted; however, students may reschedule up to 4 business days before the class start date.

Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.

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