Key Information
FinTech Bootcamp
$4,995 114 Hours
Overview
Learn Python for financial analysis, machine learning, data visualization, and SQL from experienced finance & engineering professionals in this immersive.
Prerequisite
Open to Beginners
Location
185 Madison Ave, NYC or Live Online
Schedule
Next start date: Jan 9–Feb 7, Weekdays
Other scheduling options: Weekdays or weeknights
View full schedule
Certification
New York-licensed Certificate Program
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Courses Included (Certificates & packages only)
  • 30 HoursPython for Data Science Immersive
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython Machine Learning Immersive
  • 18 HoursPython for Finance Immersive
  • 30 HoursPython Data Visualization & Interactive Dashboards
Discounts See our discounts policies for more details
  • This is a discounted package of classes that is 15–25% off the individual class prices. Other discounts do not apply.
Payment Plan See our payment plan FAQ for more details
This program is eligible for our “pay-as-you-go” payment plan.
Financing See our Leif FAQ for more details
This program is eligible for 12-month financing through Leif.
Target Audience
Anyone
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
  • Data Visualization: Find data stories through exploratory data analysis
  • Data Visualization: Use advanced Python visualization libraries
  • Data Visualization: Build dashboards that utilize effective design
  • Data Visualization: Deploy dashboards and visualizations on a live server
  • SQL: Explore and alter data using a graphical user interface
  • SQL: Write queries to search through tables programmatically
  • SQL: Understand different data types and converting between them
  • SQL: Combine information across tables with join statements
  • SQL: Advanced techniques like subqueries and timestamp functions

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