In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks.


Introduction to Trading, Machine Learning & GCP


Introduction to Trading, Machine Learning & GCP
This course is part of Machine Learning for Trading Specialization

Instructor: Jack Farmer
Access provided by Mojatu Foundation
68,271 already enrolled
897 reviews
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What you'll learn
Understand the fundamentals of trading, including the concepts of trend, returns, stop-loss, and volatility.
Define quantitative trading and the main types of quantitative trading strategies.
Understand the basic steps in exchange arbitrage, statistical arbitrage, and index arbitrage.
Understand the application of machine learning to financial use cases.
Skills you'll gain
- Applied Machine Learning
- Time Series Analysis and Forecasting
- Cloud Platforms
- Financial Trading
- Artificial Intelligence and Machine Learning (AI/ML)
- Google Cloud Platform
- Machine Learning
- Statistical Machine Learning
- Machine Learning Methods
- Model Evaluation
- Machine Learning Algorithms
- Securities Trading
- Technical Analysis
- Finance
- Predictive Modeling
- Supervised Learning
- Artificial Neural Networks
- Financial Forecasting
- Deep Learning
Tools you'll learn
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Reviewed on Nov 20, 2020
I thought this was excellent. Some familiarity with standard SQL is needed to get the most benefit from the materials, and the course is clearly aimed at GCP users.
Reviewed on May 28, 2020
Very interesting course, I totally agree that there are very few courses that cover time-series analysis. I haven't tried BigQuery before. Looking forward to next courses in this specialization.
Reviewed on Feb 2, 2021
Exactly what I was looking for and at the adequate level. I'm a trader and a machine learning developer, and this course helped me in both topics
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