UofT SCS FinTech Boot Camp

Join the University of Toronto School of Continuing Studies' dynamic 24-week Online FinTech Boot Camp, designed to equip you with cutting-edge skills at the intersection of finance, technology, and data. Dive into the evolving landscape of financial technology through hands-on virtual classes, expert-led instruction, and project-based learning.

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UofT SCS FinTech Boot Camp

In this part-time program, delve into the realm of financial technology, exploring Python programming, machine learning, blockchain, and more. Gain practical experience with essential tools such as Ethereum, smart contracts, machine learning algorithms, and AWS SageMaker.

Leverage a comprehensive curriculum covering financial fundamentals, machine learning applications in finance, programming languages, and financial libraries. Immerse yourself in real-world scenarios and emerge with the ability to model financial performance, comprehend blockchain transactions, and apply machine learning algorithms effectively in finance.

Whether you’re a seasoned finance professional or a tech enthusiast, our boot camp offers a multidisciplinary approach, welcoming diverse backgrounds. Benefit from personalized career services, including resume reviews, interview training, and 1:1 coaching, ensuring you’re job-ready upon completion.

  • Listing Type: Fintech Education
  • Sub-Category: FinTech Boot Camp
  • Full tuition fee: Please visit website for more details.
  • Language: English
  • Provided By: University of Toronto
  • Level: Please visit website for more details.
  • Duration: 24-week program
  • Listed since January 2024
  • Mode of study: Virtual
  • Start date: Please visit website for more details.
  • For queries: (647) 370-3829

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Curriculum Covers

Financial Fundamentals
Time-Series Analysis
Financial Ratios
Financial Analysis
Financial Modeling
Blockchain and Cryptocurrency
Solidity
Ethereum
Smart Contracts
Consensus Algorithms
Transactions
Validation
Distributed Ledger
Cryptocurrency
Truffle Suite
Ganache
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
TensorFlow
Keras
AWS SageMaker
Programming and Financial Libraries
Python
Pandas
PyViz
APIs
Amazon Web Services
SQL
Numpy
SciPy

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