FinTech Bootcamp
IDCFT

Hands-on Training from Experts Live Online

Gain hands-on experience with Python, SQL, and machine learning as you explore how data and technology drive modern finance. You’ll work with real-world datasets to build financial models, automate workflows, and analyze trends using tools like Pandas and Scikit-learn.

This program includes

  • 114 hours of live, project-based training from experts
  • Software Access
  • 2 additional elective courses
  • Additional 1-on-1 mentoring outside of class
  • Access to class recordings (30 days)
  • Verified digital certificate of completion
  • Learn at an accredited institution
  • Small class sizes

Special Promotion: Receive two free electives (Python for AI 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.

Download Syllabus PDF

Unit 1 30 Hours

Python for Data Science Bootcamp
  • Learn Python fundamentals, including variables, data types, functions, loops, and control flow, for building robust programs
  • Work with complex data structures such as 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 to gain deeper insights
  • Visualize data using Matplotlib and create clear, customized charts, including 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.

  • Explore information stored in a database (tables, columns, rows, etc.) using the graphical interface of DBeaver, a popular free database app.
  • Write SQL queries to retrieve data from tables in the database
  • Combine information from multiple tables using JOIN statements
  • Filter data, group it, and sort it to extract the specific information you need
  • Master advanced techniques, including subqueries, string functions, and IF‑Else logic with CASE
  • Learn how to use views and functions with parameters instead of directly querying tables

Unit 3 6 Hours

Python for Automation
  • Understand how websites are structured with HTML and CSS to identify elements for data extraction
  • Learn Python fundamentals, such as 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 web scraping across multiple pages and streamline repetitive tasks
  • Store scraped data in different formats, such as text files and CSVs, for analysis and reporting
  • Schedule Python scripts to run on a regular basis, enabling continuous data collection and automating workflows

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
  • 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

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.

  • Financial concepts, market capitalization, and enterprise value
  • Financial accounting, including accrual versus cash accounting
  • Discounted cash flow (DCF) modeling: assumptions, projecting cash flows, sensitivities, auditing
  • Excel techniques, including Data Validation, CHOOSE, Data Tables, and Goal Seek
  • Leveraged buyout (LBO) modeling
  • Real company analysis
  • Setting up the financial model and model projections
  • Corporate valuation and how to derive a value per share
  • How to 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)
  • Price before discounts: $6,485 Full tuition: $4,995
  • Live Online
  • Payment plans
  • Software Access
  • 1:1 Mentoring included

  • Custom Schedule
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  • September 2–30 Show package courses
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  • October 20–November 14 Show package courses
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  • October 20–November 14 Show package courses
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  • November 16–March 29 Show package courses
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  • November 16–March 29 Show package courses
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  • November 24–December 19 Show package courses
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