FinTech Bootcamp

Hands-on Training from Experts NYC or Live Online

Get the skills you need for a career in finance technology with the FinTech Bootcamp. Learn Python programming, data science, financial analysis, data visualization, and machine learning to become a Financial Analyst, Data Scientist, or Data Analyst.

This program includes

  • 114 hours of live, project-based training from experts
  • 8 modules
  • 2 additional elective courses
  • Additional 1-on-1 mentoring outside of class
  • Retake for free within 1 year
  • Access to class recordings (30 days)
  • Verified digital certificate of completion
  • Licensed by NYS Department of Education
  • Flexible payment plans
  • Small class sizes

Special Promotion: Receive two free electives (Python for AI, Python for Finance Bootcamp, or Financial Modeling Bootcamp) when you register for this certificate program. Contact us after enrolling to be added to the class.

Step into the world of financial technology with the FinTech Bootcamp, designed for those looking to gain essential programming and data analysis skills. In this hands-on program, you’ll learn how to leverage Python, machine learning, SQL, and data visualization to address real-world financial challenges.

  • Start Your FinTech Career: The FinTech Bootcamp provides valuable programming and data analysis skills to prepare you for entry-level Financial Analyst or Data Scientist careers. FinTech accounts for a growing number of businesses within the financial services industry, and the skills associated with this career are in demand.
  • Learn In-Demand Data & Finance Skills: Begin with Python fundamentals, data types, and structures, and work with SQL to query databases. You’ll also use Python to create dashboards and visualizations, build statistical models using machine learning, and apply Python in financial analysis, focusing on portfolio management and financial ratios.
  • Open to Beginners: This course is open to beginners with no prior knowledge of Python, data science, or data visualization. However, participants should be familiar with financial concepts such as NPV, IRR, and stock fundamentals. Those without a finance background should contact us after registration for a free on-demand guide.
  • 1-on-1 Mentoring & Hands-on Projects: You’ll work on real-world projects guided by expert instructors, receive personalized feedback, refine your coding and analytical skills, and build a portfolio that demonstrates your FinTech proficiency. This hands-on experience will equip you with the confidence to tackle challenges in the industry.

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Courses in this Certificate Program

This is the recommended order, but some courses may be taken in a different order. See the FAQ for more details.

Download Syllabus PDF

Unit 1 30 Hours

Python for Data Science Bootcamp

Build a strong foundation in Python programming and data analysis through real-world projects that prepare you for advanced topics like machine learning and predictive modeling.

  • Learn Python fundamentals, including variables, data types, functions, loops, and control flow for building robust programs
  • Work with complex data structures like dictionaries and lists to efficiently organize and access data
  • Use NumPy and Pandas to import, clean, and manipulate datasets for analysis and exploration
  • Generate descriptive statistics and apply filtering, grouping, and pivoting techniques for deeper insights
  • Visualize data with Matplotlib and create clear, customized charts such as bar graphs, histograms, and scatter plots
  • Gain the practical skills needed to transition into machine learning with a solid understanding of data science workflows

Unit 2 18 Hours

SQL Bootcamp

Learn how to extract, filter, and manipulate data using SQL. This course covers PostgreSQL fundamentals, database querying, table joins, and advanced techniques for handling large datasets.

  • Write SQL queries to retrieve, filter, and sort data efficiently.
  • Use joins to combine information from multiple tables and establish relationships.
  • Apply aggregate functions like SUM, COUNT, AVG, and GROUP BY to summarize data.
  • Work with subqueries, conditional logic (CASE statements), and advanced string functions.
  • Optimize queries using indexes, data type conversions, and best practices.
  • Explore views and user-defined functions to streamline database management.

Unit 3 6 Hours

Python for Automation

Learn how to automate web tasks and extract valuable online data using Python, with practical training in web scraping, data storage, and script scheduling.

  • Understand how websites are structured using HTML and CSS to identify elements for data extraction
  • Learn Python fundamentals, including variables, data types, conditionals, loops, and list manipulation
  • Use the Requests and Beautiful Soup libraries to perform web scraping and target specific content
  • Write loops to automate scraping across multiple web pages and streamline repetitive tasks
  • Store scraped data in various formats, including text files and CSVs, for analysis and reporting
  • Schedule Python scripts to run regularly, enabling continuous data collection and workflow automation

Unit 4 24 Hours

Python Data Visualization & Interactive Dashboards

Transform raw data into interactive visual insights by building dashboards with Python’s top visualization tools. This course blends analysis, design, and deployment to help you showcase data professionally.

  • Work with real-life datasets using Python’s core libraries, including NumPy for numerical computing and Pandas for data manipulation
  • Create static and interactive visualizations using Matplotlib, Seaborn, and Plotly to clearly communicate trends and patterns
  • Build multi-component dashboards using Dash Enterprise, incorporating callbacks, sliders, date pickers, and more
  • Practice hands-on development by applying new skills to personalized projects with guided instructor support
  • Publish your dashboards online using GitHub and Heroku to demonstrate your work to potential employers or clients
  • Explore best practices for styling and structuring visual narratives that are clear, persuasive, and engaging

Unit 5 30 Hours

Python Machine Learning Bootcamp

Gain hands-on experience building predictive models using Python in this practical machine learning course, designed to help you understand core algorithms and apply them to real-world data.

  • Explore foundational techniques like linear and logistic regression for modeling numerical and categorical data
  • Understand the difference between regression and classification problems and when to apply each approach
  • Build and evaluate models using k-nearest neighbors, decision trees, and ensemble methods like random forest
  • Learn key concepts such as cross-validation, training vs test sets, and performance metrics like mean squared error
  • Apply feature engineering techniques to improve model accuracy while managing overfitting and bias-variance tradeoffs
  • Use Python’s essential data science libraries, NumPy, Pandas, and scikit-learn, to structure data and implement algorithms
  • Gain insights into how machine learning powers systems at companies like Netflix, Spotify, and Amazon
  • Complete a final portfolio project that demonstrates your ability to apply machine learning to solve real problems

Choose two of the classes below as free electives (contact us after registration).

Bonus 18 Hours

Python for Finance Bootcamp

Learn Python financial libraries, gather/manipulate financial data, fetch APIs for company and economic data, analyze SEC financial statements, build risk models, and apply linear regression for stock price predictions. Ideal for finance professionals.

  • Learn the major Python financial libraries to gather and manipulate financial data
  • Work with financial APIs to fetch financial, company, and economic data
  • Analyze financial statements from the SEC website
  • Build risk management models using Python libraries
  • Create VAR models and Monte Carlo simulations
  • Apply statistical measures such as linear regression

Bonus 18 Hours

Financial Modeling Bootcamp

Join our financial modeling class to learn essential finance and accounting concepts, build a discounted cash flow (DCF) model in Excel, acquire advanced Excel skills, explore corporate finance and valuation, and create a financial model on a real company. This hands-on course will teach you practical financial skills.

  • 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

Bonus 30 Hours

Python for AI: Create AI Apps with Flask & OpenAI

Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.

  • Set up Flask projects and create routes for handling web requests and rendering templates.
  • Design and style web applications using HTML, CSS, and Flask’s templating system.
  • Integrate the OpenAI API to implement AI-powered features like sentiment analysis.
  • Handle user input with dynamic forms and process data for real-time interactions.
  • Implement error handling and debugging techniques to ensure smooth application performance.
  • Deploy and test Flask applications for real-world use and AI-enhanced functionality.

Schedule & Enrollment: FinTech Bootcamp

  • 4 weeks full-time (weekdays), or 4 months part-time (evenings or Saturdays)
  • $6,485 $4,995
  • NYC or Live Online
  • Free retake
  • Payment plans
  • 1:1 Mentoring included

Jul 23–Aug 15 Weekdays

Enroll
Jul 23–25 Wed–Fri 10am–5pm SQL Bootcamp
Jul 28–Aug 1 Mon–Fri 10am–5pm Python for Data Science Bootcamp
Aug 4–8 Mon–Fri 10am–5pm Python Machine Learning Bootcamp
Aug 11–14 Mon–Thu 10am–5pm Python Data Visualization & Interactive Dashboards
Aug 15 Friday 10am–5pm Python for Automation
View in Calendar

Jul 29–Dec 11 Evenings

Enroll
Jul 29–Aug 14 Tue & Thu 6–9pm SQL Bootcamp
Aug 19–Sep 18 Tue & Thu 6–9pm Python for Data Science Bootcamp
Sep 25–Nov 4
Except: Oct 2, Oct 7 		Thu & Tue 6–9pm Python Machine Learning Bootcamp
Nov 6 & 11 Thu & Tue 6–9pm Python for Automation
Nov 13–Dec 11
Except: Nov 27 		Thu & Tue 6–9pm Python Data Visualization & Interactive Dashboards
View in Calendar

Jul 26–Dec 6 Saturdays

Enroll
Jul 26–Aug 9 Saturdays 10am–5pm SQL Bootcamp
Aug 16–Sep 20
Except: Aug 30 		Saturdays 10am–5pm Python for Data Science Bootcamp
Sep 27–Oct 25 Saturdays 10am–5pm Python Machine Learning Bootcamp
Nov 1 Saturday 10am–5pm Python for Automation
Nov 8–Dec 6
Except: Nov 29 		Saturdays 10am–5pm Python Data Visualization & Interactive Dashboards
View in Calendar

Sep 2–30 Weekdays

Enroll
Sep 2–4 Tue–Thu 10am–5pm SQL Bootcamp
Sep 8–12 Mon–Fri 10am–5pm Python for Data Science Bootcamp
Sep 15–19 Mon–Fri 10am–5pm Python Machine Learning Bootcamp
Sep 22 Monday 10am–5pm Python for Automation
Sep 25–30 Thursday, Friday, Monday, Tuesday 10am–5pm Python Data Visualization & Interactive Dashboards
View in Calendar

Oct 20–Nov 14 Weekdays

Enroll
Oct 20–22 Mon–Wed 10am–5pm SQL Bootcamp
Oct 27–31 Mon–Fri 10am–5pm Python for Data Science Bootcamp
Nov 3–7 Mon–Fri 10am–5pm Python Machine Learning Bootcamp
Nov 10 Monday 10am–5pm Python for Automation
Nov 11–14 Tue–Fri 10am–5pm Python Data Visualization & Interactive Dashboards
View in Calendar

Nov 15–Mar 21 Saturdays

Enroll
Nov 15–Dec 6
Except: Nov 29 		Saturdays 10am–5pm SQL Bootcamp
Dec 13–Jan 10 Saturdays 10am–5pm Python for Data Science Bootcamp
Jan 17–Feb 14 Saturdays 10am–5pm Python Machine Learning Bootcamp
Feb 21 Saturday 10am–5pm Python for Automation
Feb 28–Mar 21 Saturdays 10am–5pm Python Data Visualization & Interactive Dashboards
View in Calendar
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Need more flexibility? Tap the button below to individually choose class date options for each class in this program.

Create a Custom Schedule

Related Courses: Compare to FinTech Bootcamp

These related courses share skills and topics with FinTech Bootcamp. Select up to two and tap Compare selected courses to view a side-by-side comparison.

  • Data Science & AI Certificate
    114 hours $3,995

    Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.

    How does it compare?

    Like the Data Science Certificate, the FinTech Bootcamp teaches Python, SQL, machine learning, and automation, and includes additional classes in Python for finance.

  • Python for Data Science Bootcamp
    30 hours $1,495

    Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

  • Data Analytics Certificate
    156 hours $4,995

    Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.

  • Financial Modeling Bootcamp
    18 hours $995

    Join our financial modeling class to learn essential finance and accounting concepts, build a discounted cash flow (DCF) model in Excel, acquire advanced Excel skills, explore corporate finance and valuation, and create a financial model on a real company. This hands-on course will teach you practical financial skills.

Show all related courses

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