Key Information
FinTech Bootcamp
Advanced Excel & Financial Modeling Intensive
Financial Modeling Bootcamp
$4,495 102 Hours
$1,495 24 Hours
$895 21 Hours
Overview
Gain the analytical and programming skills to break into finance technology. Learn the fundamentals of Python programming, data science, financial analysis, and machine learning. Create your own final project.
In this one-week program, you'll learn core and advanced Excel, financial accounting, corporate finance, and financial modeling. 
Learn essential finance & accounting concepts while building a comprehensive discounted cash flow (DCF) model in Excel. This financial modeling class blends finance, accounting and Excel concepts into an intensive 3-day course. 
Prerequisite
Open to Beginners
Prior knowledge of beginner Excel concepts, including basic formulas, functions, formatting, and charts is required. Tuition to this course includes free entry into our Excel Fundamentals course. See course dates and email us after you register for the program to enroll in Excel Fundamentals for free.
Prior financial experience is helpful, but not required. Those without a finance or accounting background will receive a short guide prior to the course (request upon registration) to acclimate themselves to terminology. Excel proficiency equivalent to Intermediate Excel for Business is required, including VLOOKUP, Pivot Tables, and IF statements. Our Financial Analyst Training Program includes beginner and intermediate Excel along with this 3-day bootcamp.
Location
185 Madison Ave, NYC or Live Online
185 Madison Ave, NYC or Live Online
185 Madison Ave, NYC or Live Online
Schedule
Next start date: Oct 11–Nov 3, Weekdays
Other scheduling options: Weekdays or weeknights
View full schedule
Not currently scheduled
Not currently scheduled
Certification
New York-licensed Certificate Program
Receive a Certificate of Completion
Receive a Certificate of Completion
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Courses Included (Certificates & packages only)
  • 30 HoursPython for Data Science Bootcamp
  • 18 HoursSQL Bootcamp
  • 6 HoursPython for Automation
  • 30 HoursPython Machine Learning Bootcamp
  • 18 HoursPython for Finance Bootcamp
N/A
N/A
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.
  • Take 10% off this course if you’ve previously taken any 12+ hour course.
  • Take $100 off this course if you’re an individual paying for yourself (not reimbursed by a company).
  • Shorter courses such as this are already affordably priced and are not eligible for discounts.
Payment Plan See our payment plan FAQ for more details
This program is eligible for our “pay-as-you-go” payment plan.
12-Month FinancingSee our Climb Credit FAQ for more details
This program is eligible for financing through Climb Credit.
Target Audience

The FinTech Bootcamp is for professionals looking to break into the field of financial technology and learn important skills such as Python programming, financial analysis, and machine learning. This program is best suited for:

  • Individuals looking to start a career as a Financial Analyst or Data Scientist
  • Anyone interested in working in FinTech or a related field
  • Finance professionals looking to broaden and advance their skills
Anyone

Participants with prior knowledge of Excel looking to add fluency in financial and accounting concepts and financial modeling skills, including:

  • Those working in or seeking a position in finance, including investment banking, hedge funds, private equity, real estate, and FP&A
  • College and graduate students looking to supplement academic coursework with practical applications of financial modeling and prepare for technical interviews 
  • Those working in or seeking a position in the finance division of a non-financial company to gain skills in advanced Excel, corporate finance, accounting, and cash flow modeling
What You’ll Learn
  • Methods for analyzing financial data using Python and SQL
  • Different types of data, such as integers, floats, and strings
  • How to analyze tabular data and graph the results
  • How to use Python to analyze a financial statement
  • Financial topics such as WACC, NPV, and IRR
  • How to build predictive models for internal budgeting
  • How to work with data using a graphical user interface
  • How to search through tables programmatically
  • Advanced querying techniques like subqueries and timestamp functions
  • Financial Concepts, Market Capitalization, & Enterprise Value
  • Financial Accounting including accrual versus cash accounting
  • Discount Cash Flow (DCF) Modeling: Assumptions, Projecting Cash Flows, Sensitivities, Auditing
  • Excel Techniques including Data Validation, CHOOSE, Data Tables, Goal Seek and more
  • Leveraged Buyouts (LBO) Modeling
  • Real Company Analysis
  • Setup the Financial Model and model projections
  • Corporate Valuation and derive a value per share
  • Analyze the Model Output
  • Financial Concepts, Market Capitalization, & Enterprise Value
  • Financial Accounting including accrual versus cash accounting
  • Discount Cash Flow (DCF) Modeling: Assumptions, Projecting Cash Flows, Sensitivities, Auditing
  • Excel Techniques including Data Validation, CHOOSE, Data Tables, Goal Seek and more
  • Leveraged Buyouts (LBO) Modeling
  • Real Company Analysis
  • Setup the Financial Model and model projections
  • Corporate Valuation and derive a value per share
  • Analyze the Model Output