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Bewertung und Feedback des Lernenden für Introduction to Trading, Machine Learning & GCP von Google Cloud

726 Bewertungen

Über den Kurs

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)....



29. Jan. 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. Nov. 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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76 - 100 von 195 Bewertungen für Introduction to Trading, Machine Learning & GCP

von hamed a

1. Apr. 2021

Thank you so much

it was really great for me

Best wishes

von Roberto R

9. Jan. 2020

Great start material for ML and Cloud Computing


26. Jan. 2021

Amazing Course and content. Thank you =)

von praburam u

2. Sep. 2020

good course but not much of programming

von Michael B J

17. Mai 2020

The Instructors were spot on!!! Thanks!

von nneoyi a

20. Juli 2020

A key course for the next generation.

von Steve H C F

16. Jan. 2020

Good intro to ML and using GCP.

von Muhammad M

20. Dez. 2020

very informative nad helpful

von Branderson J A C

13. Sep. 2021

Excelente , muy interactivo

von Seshadri S K

13. Jan. 2020

Great course with Basics

von Donkoo J

24. Mai 2020

Very good to learn GCP

von Juan R M O

9. Jan. 2020

A lot of possibilities

von Ronny F

20. Jan. 2021

This is very useful.

von Robin M

22. Nov. 2021

Very enlightening!

von Azip S

24. Dez. 2020

Excellent training

von Leonardo A

22. Dez. 2020

Really good course

von J G

2. März 2020

good course

von Gregory G J

23. Jan. 2021

Thumbs Up!

von LiengPhu T

26. Juni 2021


von Marcin G

6. Feb. 2021


von Andrei L

16. Apr. 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

von Jair R

2. Juni 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.

von Jakub K

28. Aug. 2020

I learned a few cool things. The main problem with this specialization is that the Machine Learning Stuff and Finance stuff are really separated (Google, NY univ). What I was looking for is the place where two concepts meets. Also i felt like ML stuff went too deeply too fast. Still... Cool Introduction.

von Angelo M

25. Juli 2021

The first module has a lot of specific knowledge of the financial market that it would not be easy to gather by conducting an extensive internet search. I realized that the professors have an excellent experience in the financial market, which greatly improves the final quality of the course.

von Carlos V

19. Jan. 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