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.

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.

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.

Theory of the financial part was interesting. "Coding" part was more or less running some fully implemented scripts from a github repository.

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.

Good introduction but would be better served with labs that force you to code more rather than do execute pre-existing commands

Too layman. NO real ML techniques for real trading, just some intro that you can easily find on stackoverflows or something.

The course was great from Google's point but from the "New York Institute of Finance", it was confusing and not helpful.

I expected to understand how we'd interact with the exchanges and then run mdeols in realtime for trading outcomes

This is a good introduction course, fourth week completely different or not aligned with course title.

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

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

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

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

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

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

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

Material sometimes seems like a patchwork in random order.

some videos are from other courses.. not exist practice

Good intro to concepts. Labs could use more thought.

Good Introduction to Time Series, ML and GCP!

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.

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

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.

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.