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Which course is right for you? This tool allows you to compare any class or certificate program in our catalogue with the important information you need to make the right decision.

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: Jun 10–Jul 12, Weekdays
Other scheduling options: Weekdays, evenings, or saturdays
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
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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