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
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Introduction to Trading, Machine Learning & GCP
This course is part of Machine Learning for Trading Specialization
Instructor: Jack Farmer
69,058 already enrolled
Included with
Gain insight into a topic and learn the fundamentals.
898 reviews
Intermediate level
Recommended experience
Flexible schedule
5 hours to complete
Learn at your own pace
85%
Most learners liked this course
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
- Time Series Analysis and Forecasting
- Machine Learning Software
- Securities Trading
- Machine Learning
- Google Cloud Platform
- Machine Learning Methods
- Machine Learning Algorithms
- Applied Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Model Optimization
- Supervised Learning
- Financial Trading
- Finance
- Model Training
- Deep Learning
- Artificial Neural Networks
- Technical Analysis
- Statistical Machine Learning
- Model Evaluation
- Cloud Platforms
Details to know
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Assessments
8 assignments
Taught in English
91%
of learners achieved a positive career outcome
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Build your subject-matter expertise
This course is part of the Machine Learning for Trading Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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Showing 3 of 898
AJ
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.
ST
Reviewed on Jan 14, 2020
Some of the content in Week 4, might be better placed earlier in the course. Other than that it was a great learning experience.
MS
Reviewed on Jan 29, 2020
Excellent! But, I am missing some of the prerequisites since I just wanted to take a chance and try things out, but feel like proceeding further might lead to some stumbling blocks.
