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

3.9
stars
458 ratings
129 reviews

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

MS

Jan 30, 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.

BA

Mar 16, 2020

Very good course us introduction to Trading, ML models for trading, ML, Neural networks concept and approaches, Google cloud platform.

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51 - 75 of 128 Reviews for Introduction to Trading, Machine Learning & GCP

By belachkar a

Mar 16, 2020

Very good course us introduction to Trading, ML models for trading, ML, Neural networks concept and approaches, Google cloud platform.

By Jo O

May 02, 2020

This is a very good course because it tuned my already forecasting knowledge to look more into machine learning

By Andrew

Jan 13, 2020

Good course that gives a lot of breadth as an introduction to machine learning in finance. Well put together

By Gabriel V

Aug 06, 2020

This is an amazing way to use data science in finance. This course is quite clear and easy to finish.

By Ralph S

Mar 23, 2020

Great introduction course that gives you an idea of various concepts of machine learning

By Evangelos P

Jul 06, 2020

Nice course, this complex subject is introduced step by step with many examples!

By Arunkumar M

Jan 13, 2020

Great introduction for people who want to get started in ML, GCP and Fin Tech

By Adithya K S

May 13, 2020

Wonderful...This was an amazing Intro to Trading and ML

By Roberto R

Jan 09, 2020

Great start material for ML and Cloud Computing

By Michael B J

May 18, 2020

The Instructors were spot on!!! Thanks!

By EDET N A

Jul 20, 2020

A key course for the next generation.

By Steve H C F

Jan 16, 2020

Good intro to ML and using GCP.

By Seshadri S K

Jan 14, 2020

Great course with Basics

By JEONG D

May 25, 2020

Very good to learn GCP

By Juan R M O

Jan 09, 2020

A lot of possibilities

By J G

Mar 03, 2020

good course

By Andrei L

Apr 16, 2020

I can only agree with previouss comments:

1) Overall Ok as an introductory course

2) Week 4 should be week 1

3) Week 4 videos are somewhat disjoint and by the references they make are clearly just fragments of other courses.

4) Concepts used in labs should be explained a bit better beforehand

5) Each lab should have a at lease one concrete try-this followed by an explanation of why the result is different, better or worse

By Jair E R L

Jun 03, 2020

The course provides valuable content. It requires more than Python fundamentals in some topics, but it is ok because the student must investigate out of the course's material.

There is an emphasis on Google's tools, which are very interesting, but the course should be more agnostic on this matter in order that the student has wider spectrum of resources available.

By Carlos V

Jan 20, 2020

Good course on the applications of ML to stock trading, examples are quite nice and the labs provide explanations on how to utilize the ML libraries available, recommended for anyone interested on more time-series type of analysis and ML

By Lucas R A

Jun 03, 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.

By Debashish D G

May 05, 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.

By Piero R

May 12, 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.

By Samuel T

Jan 15, 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.

By Benjamin P

Apr 04, 2020

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

By Mike M

Apr 20, 2020

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