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Learner Reviews & Feedback for Introduction to Trading, Machine Learning & GCP by Google Cloud
838 ratings
About the Course
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.
To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).
Top reviews
DG
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The lectures appear to jump around a bit. Looks like it was stitched together from different places. So the course lacks a continuity I have seen in other courses.
AJ
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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.
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226 - 229 of 229 Reviews for Introduction to Trading, Machine Learning & GCP
By Pedro M G
•Jul 16, 2022
Tools don't work anymore. Update this course.
By sohail s
•Mar 11, 2022
sale pitch couse to buy google product
By HE J
•Jan 1, 2020
Too simple
By Charchit R
•Feb 21, 2021
Very Poor