# FinTech Bootcamp Online (Self-Paced)

Canonical URL: <https://www.creativelive.com/learning-path/fintech-bootcamp-online>

## Overview

The FinTech Bootcamp is designed for people with a foundation in finance who are ready to add strong technical skills to their toolkit. Through hands-on work in Python, SQL, data visualization, and machine learning, you'll learn how to tackle real-world financial challenges and come away prepared for careers as a financial analyst or data scientist. The curriculum blends coding, financial modeling, and applied data science to build practical fluency across all three areas.

On the technical side, you'll learn how to analyze financial data using Python and SQL, work with different data types, analyze tabular data and graph results, and build visualizations and dashboards. You'll use Python to dig into financial statements and apply it to topics such as WACC, NPV, and IRR. The program also covers building predictive models for internal budgeting, working with data through a graphical user interface, searching through tables programmatically, and applying advanced querying techniques such as subqueries and timestamp functions.

## 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 create visualizations and dashboards with Python
- 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

## Curriculum
1. **SQL Course Online (Self-Paced)**
2. **Python for Data Science Course Online (Self-Paced)**
3. **Python Machine Learning Course Online (Self-Paced)**
4. **Python for Automation Course Online (Self-Paced)**
5. **Python Data Visualization & Interactive Dashboards Online (Self-Paced)**
6. **Data Science Capstone Projects (Self-Paced)**
7. **Python for AI Course Online (Self-Paced)**
8. **Financial Modeling Bootcamp**

## Instructors

### Richard Trybulski — Instructor

Richard is the lead instructor for several finance courses, including Financial Accounting & Financial Statement Analysis, Stock Market Investing, and Financial Modeling, at Noble Desktop. Richard trained new Investment Bank and Private Equity hires, including those at Bank of America and Houlihan Lokey, in Modeling Mergers & Acquisitions, Trading Comps, LBOs, DCF, and 3 Statement Financial modeling. He also taught graduate university courses in Accounting, Financial Derivatives (Futures, Options, and Swaps), Fixed Income Analytics, and Corporate Finance. He currently teaches undergraduate courses in Financial Management and Data Analytics at Sacred Heart University in Fairfield, CT. Richard supported the Foreign Exchange Desk and Equity Desk at JP Morgan, worked as an equity research analyst at Malley Associates in NYC, developed Trade Capture Systems for Foreign Exchange and Bond Trading, and worked as a consultant, modeling/valuing real estate development (including corporate lease agreement analysis), and financial planning. Richard holds an MBA in Finance, was awarded the CFA (Chartered Financial Analyst) charter, the CAIA (Chartered Alternative Investment Analyst) charter, and the CMA (Certified Management Accountant) charter.

## FAQ

### Does this course require any prior knowledge or experience?

This course is open to beginners with no prior knowledge of Python, programming concepts, or data science. However, participants should be familiar with financial concepts such as NPV, IRR, financial statements, and stock fundamentals. Those without a background in finance should contact us after registration to access a free on-demand supplemental guide.

### Should I do anything before class?

Students without any background in corporate finance or financial accounting should review our free online prep materials before the course (request the free materials after registration).

## Pricing

**Tuition:** $4995

Payment options: Student financing available; see the current application terms and pay-as-you-go installments.