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OK but one of the labs is broken and the provided commands don't work and other one has a jupyter notebook with use of outdated python library for ARIMA and it doesn't work with new version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.

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

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

Lacks depth of most topics , too brief of an introduction

Not sure it is good material for real tradings bots

No labs or quizzes for auditing students

Very few real practical exercises.

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Also, the content is massively outdated and uses an old version of tensor flow which is now deprecated.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.

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.

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?

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.