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

4.0
stars
847 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

AK

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.

MS

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.

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176 - 200 of 232 Reviews for Introduction to Trading, Machine Learning & GCP

By Rafiul H N

Jun 2, 2020

The course was great from Google's point but from the "New York Institute of Finance", it was confusing and not helpful.

By Pranesh

May 5, 2020

I expected to understand how we'd interact with the exchanges and then run mdeols in realtime for trading outcomes

By Pranav K S

Jan 26, 2020

This is a good introduction course, fourth week completely different or not aligned with course title.

By Константин К

Aug 31, 2020

So many words in that course and so little knowledge. For me, it was wasting time on 80%.

By Angelos L

Mar 20, 2020

Nice theory very poor explaining in application not very useful to make you build a model

By Steve W

Dec 28, 2019

Some good parts, but several sections were cobbled together from other courses I've taken

By Hilmi E

Feb 1, 2020

The relationship between these three topics are somewhat loosely presented..

By Andy M

Aug 4, 2021

I would like to see more specific coding examples for trading strategies.

By andy

Mar 20, 2021

its ok but too elementary while not having more konwledge on finance side

By Animesh

Jan 18, 2020

Not much learn from them, but whatever is there it's good.

By JL B

Jan 11, 2020

Material sometimes seems like a patchwork in random order.

By Juan J M C

Dec 27, 2020

some videos are from other courses.. not exist practice

By MiX_

Oct 30, 2024

Lab is obsoleted... i have to re-write a lot of ackages

By Lindsey

Oct 31, 2024

Good information. Guides for using labs are outdated.

By Joe M

Apr 1, 2020

Good intro to concepts. Labs could use more thought.

By Alain T

Apr 4, 2020

Good Introduction to Time Series, ML and GCP!

By Reddy D

Apr 10, 2024

Coach helped better than the slides

By Andrey R

Apr 24, 2024

Very messy course

By Garrett R

Jun 4, 2024

A poorly matched course from two different resources with different focus. Learn GoogleCloud and BigQuery, then separately learn about trading. This combo is a hodge-podge of the two, but not entirely coherent as a result. Very basic stuff about trading (Stop-losses, ARIMA) with non-sequitur BigQuery and ML. Course assumes one wants to use BigQuery or GoogleCloud, which is questionable. Very little Python in this course - odd since there was a pre-course exam in Python.

By Sam F

Jan 3, 2020

Had I not read another book on ML, I probably wouldn't understand a lot of material covered here. The course might be a good recap if you already know the material. However for someone who is new to ML, the videos just dumps a lot of definition on you without real explanation in layman term. I ended up having to go to other YouTube videos for explanation.

By Bartłomiej N

Nov 14, 2021

Course is OK but one of the labs is broken and the provided commands don't work and other one has a jupyter notebook with use of outdated python library for ARIMA and it doesn't work with new version

By Oleksandr S

Feb 2, 2020

The course gives you a very limited introduction to ML for trading. More examples of time series models, basic trading strategies, use of ML methods etc are needed.

By Adrien S

Oct 28, 2020

The course was ok but a bit disjointed, especially week 4 which felt like it was "cut-and-pasted" into the course from other courses and didn't have much cohesion.

By Devin C

Aug 31, 2024

No coding of your own. Tedious to set up Google AI labs. Some of the latter ML videos are missing previous videos which are referenced in the quiz.

By Alexander K

Jan 31, 2022

Course may have some interesting instruction but about half of it is an elaborate advertisement for unnecessary google products. Not worth it.