Introduction to Trading, Machine Learning & GCP
Learn essential concepts in quantitative trading, machine learning applications, and Google Cloud Platform implementation.
Learn essential concepts in quantitative trading, machine learning applications, and Google Cloud Platform implementation.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning for Trading Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand trading fundamentals and quantitative strategies
Build machine learning models for financial applications
Implement trading strategies using Google Cloud Platform
Master time series analysis and ARIMA modeling
Develop neural network models for trading
Apply statistical arbitrage techniques
Skills you'll gain
This course includes:
3 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course introduces the intersection of machine learning and financial trading using Google Cloud Platform. Students learn fundamental trading concepts, quantitative strategies, and machine learning applications in finance. The curriculum covers regression models, time series analysis, ARIMA modeling, and neural networks, with hands-on implementation using Google Cloud tools like BigQuery ML and AI Platform Notebooks.
Introduction to Trading with Machine Learning on Google Cloud
Module 1 · 4 Hours to complete
Supervised Learning with BigQuery ML
Module 2 · 2 Hours to complete
Time Series and ARIMA Modeling
Module 3 · 1 Hours to complete
Introduction to Neural Networks and Deep Learning
Module 4 · 57 Minutes to complete
Fee Structure
Instructor
NYIF Instructor Specializing in Portfolio Risk Management and Derivatives
Jack Farmer is an instructor at the New York Institute of Finance (NYIF), where he specializes in training and consulting solutions for portfolio risk management, foreign exchange (FX) and interest rate derivatives, equity index and volatility trading, as well as financial statement analysis and hedge accounting. He holds a BS in Engineering and an MBA in Finance and Accounting from Tulane University, and is currently pursuing a PhD in Finance from the University of Texas at Austin. Jack's extensive expertise enables him to effectively educate students on complex financial concepts and risk management strategies.
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838 ratings
Frequently asked questions
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