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Learner Reviews & Feedback for Introduction to Trading, Machine Learning & GCP by Google Cloud

4.0
stars
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

MF

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A good intro to machine learning in finance. I does not goes very deep, but hat some useful exercises and practice with google cloud.

MS

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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.

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126 - 150 of 229 Reviews for Introduction to Trading, Machine Learning & GCP

By Martin L

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Jul 14, 2021

Even are more basic knowledge of Trading and ML, still with specific data relative Trading and finance, Great!

By Benjamin P

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Apr 4, 2020

Not as much coding as I would have wanted, or atleast exposure to code. Very solid historical context though.

By VICTOR T

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Aug 9, 2022

Pretty basic concepts, although being titled as "Introduction" it does what it is supposed to do. Good job.

By Michael M

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Apr 19, 2020

Pretty great course. Sometimes there was too much detail and other times not enough but overall I loved it.

By Brian B

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Apr 8, 2021

Was pretty good. Would be nice to have some links to resources on BQML specific query language.

By Soren B

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Apr 21, 2020

Good intro. Could use some additional work on the ARIMA model lab on tuning the parameters.

By Anirban S

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Jan 19, 2020

Introduces concepts in a lucid way albeit depending on some prerequisite knowledge at times.

By Alejandro A S

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Jul 14, 2020

the course is not very organized, the material presented are not clever in order

By Andrew S

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Jun 23, 2020

Shortage of practice but good for learning something new about stock markets.

By Iskander R

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Jun 6, 2020

Good as introductory course. Looking forward for more in depth topics. Thanks

By Alvar S I

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Sep 4, 2020

Muy bueno por conjugar muy bien el mercado de capitales con la programación

By Sergio G

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Apr 26, 2020

Easy to follow. It lacks of a more applied number of examples and cases.

By Ocin L

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Apr 10, 2020

More explanation on the lab and the function being use would be great!

By LI,Aaron

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Aug 26, 2024

The big query is a drawback. Otherwise, it is a perfect course.

By Ronnie Y

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May 9, 2020

Course content should include more practical in each section

By RENATO V M S

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Jul 2, 2021

Nice course but showing only the peak of the GCP iceberg!!!

By Kong

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Jan 1, 2021

Overall good experience. But first lab is confusing.

By domenico r

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Apr 13, 2020

I was expecting more coding on python

By Robin L

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Dec 21, 2020

please add more hands-on lab

By Wolfgang B

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May 4, 2020

Yes. Introduction level.

By David C C R

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Apr 19, 2020

Introductory course.

By Henry M

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Jan 19, 2020

Good introduction

By Rayantha S

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May 7, 2020

Very good course

By Sergio O

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Mar 27, 2020

Good!

By Charles C

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Nov 4, 2021

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