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Voltar para Introduction to Trading, Machine Learning & GCP

Comentários e feedback de alunos de Introduction to Trading, Machine Learning & GCP da instituição Google Cloud

716 classificações
191 avaliações

Sobre o curso

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)....

Melhores avaliações


29 de jan de 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.


20 de nov de 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.

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101 — 125 de 192 Avaliações para o Introduction to Trading, Machine Learning & GCP

por Lucas R A

3 de jun de 2020

Good introduction to quant theory and ML, labs could be a lot better though, they lack proper explanations and don't cover some of the basics necessary to complete them.

por Debashish D G

5 de mai de 2020

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.

por Shailendra k v

18 de jan de 2022

Good material... Assignment are very helpful. Flow is bit choppy specially for ML parts. It switches from simple to advance topic rather randomly.

por Piero R

11 de mai de 2020

It's a good course, but the volume is TOO LOW, and they don't go into detail in the programming phase for python. but it's good overall.

por Samuel T

15 de jan de 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.

por Martin L

14 de jul de 2021

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

por Benjamin P

4 de abr de 2020

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

por Mike M

19 de abr de 2020

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

por Brian B

8 de abr de 2021

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

por Soren B

21 de abr de 2020

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

por Anirban S

19 de jan de 2020

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

por Alejandro A S

14 de jul de 2020

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

por Andrey S

23 de jun de 2020

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

por Iskander R

6 de jun de 2020

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

por Alvar S I

4 de set de 2020

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

por Sergio G

26 de abr de 2020

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

por Ocin L

10 de abr de 2020

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

por Yip Y C

9 de mai de 2020

Course content should include more practical in each section


2 de jul de 2021

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

por Kong

1 de jan de 2021

Overall good experience. But first lab is confusing.

por domenico r

13 de abr de 2020

I was expecting more coding on python

por Robin L

21 de dez de 2020

please add more hands-on lab

por Wolfgang B

4 de mai de 2020

Yes. Introduction level.

por David C C R

19 de abr de 2020

Introductory course.

por Henry M

19 de jan de 2020

Good introduction