Chevron Left
Zurück zu Introduction to Trading, Machine Learning & GCP

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

711 Bewertungen
188 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.

Filtern nach:

151 - 175 von 189 Bewertungen für Introduction to Trading, Machine Learning & GCP

von Константин К

31. Aug. 2020

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

von Angelos L

20. März 2020

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

von Steve W

28. Dez. 2019

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

von Hilmi E

1. Feb. 2020

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

von Andy M

4. Aug. 2021

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

von andy

20. März 2021

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

von Animesh

18. Jan. 2020

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

von Jean-Luc B

11. Jan. 2020

Material sometimes seems like a patchwork in random order.

von Juan J M C

27. Dez. 2020

some videos are from other courses.. not exist practice

von Joe M

1. Apr. 2020

Good intro to concepts. Labs could use more thought.

von Alain T

4. Apr. 2020

Good Introduction to Time Series, ML and GCP!

von Sam F

3. Jan. 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.

von Bartłomiej N

14. Nov. 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

von Oleksandr S

2. Feb. 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.

von Adrien S

28. Okt. 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.

von Alexander Z K

31. Jan. 2022

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

von Jonathan S

13. Sep. 2020

Actual programming was nonexistent, the assignments just had you run already-written jupyter notebooks

von Michael K

23. Jan. 2020

Lacks depth of most topics , too brief of an introduction

von Yaron G

22. Juni 2020

Not sure it is good material for real tradings bots

von Harshit M

12. Juni 2020

No labs or quizzes for auditing students

von Guillermo B

7. Aug. 2020

Very few real practical exercises.

von Steven K

22. Dez. 2019

The required labs for passing are not uploaded and there is no support in the discussion forums. This means you can not effectively undertake this course without recreating the required cloud systems yourself.

Also, the content is massively outdated and uses an old version of tensor flow which is now deprecated. The course feels like its around 3 years old but only just been uploaded to coursera now.

Very poor experience in my humble opinion and I want my 2 hours of troubleshooting this back.

von Conor W

21. Jan. 2020

A waste of time and money really. Appears to cobbled together from other courses. It doesnt flow, instead jumps around on random topics and none of them link up. It can jump from very basic concepts to suddenly covering complex topics in the in a 2 minute video. The "graded" exercises are pointless. Just following a series of (convoluted) steps and nothing is learned and nothing is actually graded. Dont waste you time with this.

von Allen S

23. Aug. 2020

There could be some useful information in there but even with subtitles, the horrible audio quality makes it much too painful to wade through. I gave up and cancelled the course. I'm very disappointed as my cloud experience is entirely AWS and I was looking forward to learning about the Google Cloud alternative. How could a company as strong as Google produce such a staggeringly poor introduction to their platform?

von Luiz P F

22. Okt. 2020

There seems to much detail lacking in both ML and Trading aspects of the course. Moreover, the practice labs are not interactive and don't build up to add much to the content. There's not much exploration during labs either. Overall, a very poor introduction.