Course Overview

Throughout the course, you will gain experience with a host of popular tools and methods such as Python programming, financial libraries, machine learning algorithms, Solidity smart contracts, Ethereum, and blockchain. You will also learn how these concepts are leveraged within financial fields from financial planning to hedge funds, as well as best practices for using these skills to add value to your organization.


"Banks are technology firms in disguise"

Course Outline

Over the course of 24 weeks, you will progress through a unique, blended experience of weekly, flexible content and live virtual classes led by instructors in the field. Online modules allow you to work at your own pace on real-world data problems and learn from wherever you are. You will come together with peers and a dedicated instructional team in a highly-interactive live classroom environment to build upon these skills. These virtual classes are designed to give you the support of industry professionals while working through interesting challenges and receiving real-time feedback.

Additional Information

Are you a creative, curious, and ambitious professional looking to join the FinTech revolution? If so--or if any of the following describes your situation--enrolling in our FinTech Boot Camp could be a smart career move:

  • A technical professional, such as a developer, help desk technician, or data analyst, who wants to transition into the financial sector and understand how to apply programming to finance.
  • A manager who wants to supercharge his/her skill set to better understand the financial side of their organization.
  • A financial professional who wants to attain a more technical skill-set in the wake of their organization’s digital transformation.
  • A tech enthusiast looking to get his/her foot in the door in the world of finance.  

Students will graduate with a foundation in Financial Technology and Analysis, including*:

Financial Fundamentals
  • Time-Series Analysis
  • Financial Ratios
  • Financial Analysis
  • Financial Modeling
  • Statistical Modeling
Programming and Financial Libraries
  • Python
  • Pandas
  • PyViz
  • APIs
  • Amazon Web Services
  • SQL
  • Numpy
  • SciPy
Machine Learning Applications in Finance 
  • Algorithmic Trading
  • Random Forests
  • k-Nearest Neighbors (kNN)
  • Support Vector Machines (SVM)
  • Linear Regression
  • Scikit-learn
  • Forecasting
  • Logistic Regression
  • Deep Learning
  • Recurrent Neural Networks
  • TensorLow
  • Keras
  • AWS SageMaker
Blockchain and Cryptocurrency
  • Solidity
  • Ethereum
  • Smart Contracts
  • Consensus Algorithms
  • Transactions
  • Validation
  • Distributed Ledger
  • Cryptocurrency
  • Truffle Suite
  • Ganache

*The material covered in this course is subject to change due to market demand.

Applies To The Following Certificate

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