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

Course is dated and it is mainly theory with very opportunity to apply what your learning with examples

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

instructrs often talk too much to themselves with very diagrams to support the learning

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

Lab is obsoleted... i have to re-write a lot of ackages

Good information. Guides for using labs are outdated.

Good intro to concepts. Labs could use more thought.

Good Introduction to Time Series, ML and GCP!

Coach helped better than the slides

A poorly matched course from two different resources with different focus. Learn GoogleCloud and BigQuery, then separately learn about trading. This combo is a hodge-podge of the two, but not entirely coherent as a result. Very basic stuff about trading (Stop-losses, ARIMA) with non-sequitur BigQuery and ML. Course assumes one wants to use BigQuery or GoogleCloud, which is questionable. Very little Python in this course - odd since there was a pre-course exam in Python.

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.