# FinTech Bootcamp Canonical URL: ## Overview Financial technology is one of the fastest-growing sectors in the industry, and this bootcamp is built to get you ready for it. Through hands-on projects and one-on-one mentoring with expert instructors, you will develop practical skills in Python, SQL, machine learning, and data visualization, all applied to real-world financial challenges. You will start with Python fundamentals, data types, and structures, then move into querying databases with SQL, building dashboards, creating statistical models, and applying Python to financial analysis topics like portfolio management and financial ratios. By the time you finish, you will have a portfolio that showcases your abilities and the confidence to pursue entry-level roles as a Financial Analyst or Data Scientist. No prior experience with Python, data science, or data visualization is required to enroll, making this bootcamp accessible to beginners. That said, participants should have a working familiarity with financial concepts such as NPV, IRR, and stock fundamentals. If you do not have a finance background, reach out after registration and we will point you toward a free on-demand guide to get you up to speed. With FinTech accounting for a growing share of the financial services sector, the skills you will build here are not only practical but increasingly sought after by employers. ## 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, like Excel or Tableau - How to search through tables programmatically - Advanced querying techniques like subqueries and timestamp functions ## Curriculum 1. **Python for Data Science Bootcamp** 2. **SQL Bootcamp** 3. **Python for Automation** 4. **Python Data Visualization & Interactive Dashboards** 5. **Python Machine Learning Bootcamp** 6. **Financial Modeling Bootcamp** 7. **Python for AI: Create AI Apps with Flask & OpenAI** **Skills covered:** Python, SQL, Jupyter Notebook, Pandas, Scikit-learn, Machine Learning, Matplotlib, NumPy, Beautiful Soup, Data Science Portfolio ## 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 ### Should I do anything before coming to 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). ### How many students are in a class? Noble’s typical class ranges from 8–12 students, but we accept up to 20 students. ### 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. ## Pricing **Tuition:** $4995 Payment options: Student financing available; see the current application terms and pay-as-you-go installments.