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.
por rohit s•
27 de jul de 2020
A decent introduction but with minimal hands on learning. Most of the initiative is on the student to learn about and apply the topics described here. Also tends to promote GCP a lot.
por Shekhar K•
2 de jun de 2020
The course seems incomplete or not organized well. The concepts come and go out of nowhere. I knew lot of concepts beforehand and could figure out, but it was very fragmented.
por Kelvin C•
1 de set de 2020
The course is loosely organized. Some of the concepts in lab have not been gone through in the lecture. Anyway, the lectures presented by Jack is good.
por Andreas W•
26 de set de 2020
Theory of the financial part was interesting. "Coding" part was more or less running some fully implemented scripts from a github repository.
por Rustom F•
30 de jan de 2020
The course seems to be more focused on advertising google cloud platform and there is hardly any focus on how to use ML or AI for trading.
por Michail A•
26 de mai de 2022
Good introduction but would be better served with labs that force you to code more rather than do execute pre-existing commands
21 de jan de 2020
Too layman. NO real ML techniques for real trading, just some intro that you can easily find on stackoverflows or something.
por Rafiul H N•
2 de jun de 2020
The course was great from Google's point but from the "New York Institute of Finance", it was confusing and not helpful.
5 de mai de 2020
I expected to understand how we'd interact with the exchanges and then run mdeols in realtime for trading outcomes
por Pranav K S•
26 de jan de 2020
This is a good introduction course, fourth week completely different or not aligned with course title.
por Константин К•
31 de ago de 2020
So many words in that course and so little knowledge. For me, it was wasting time on 80%.
por Angelos L•
20 de mar de 2020
Nice theory very poor explaining in application not very useful to make you build a model
por Steve W•
28 de dez de 2019
Some good parts, but several sections were cobbled together from other courses I've taken
por Hilmi E•
1 de fev de 2020
The relationship between these three topics are somewhat loosely presented..
por Andy M•
4 de ago de 2021
I would like to see more specific coding examples for trading strategies.
20 de mar de 2021
its ok but too elementary while not having more konwledge on finance side
18 de jan de 2020
Not much learn from them, but whatever is there it's good.
por JL B•
11 de jan de 2020
Material sometimes seems like a patchwork in random order.
por Juan J M C•
27 de dez de 2020
some videos are from other courses.. not exist practice
por Joe M•
1 de abr de 2020
Good intro to concepts. Labs could use more thought.
por Alain T•
4 de abr de 2020
Good Introduction to Time Series, ML and GCP!
por Sam F•
3 de jan de 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.
por Bartłomiej N•
14 de nov de 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
por Oleksandr S•
2 de fev de 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.
por Adrien S•
28 de out de 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.