Jan 30, 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.
Mar 16, 2020
Very good course us introduction to Trading, ML models for trading, ML, Neural networks concept and approaches, Google cloud platform.
by Rustom F•
Jan 30, 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.
Jan 21, 2020
Too layman. NO real ML techniques for real trading, just some intro that you can easily find on stackoverflows or something.
by Rafiul H N•
Jun 02, 2020
The course was great from Google's point but from the "New York Institute of Finance", it was confusing and not helpful.
by Pranesh R•
May 05, 2020
I expected to understand how we'd interact with the exchanges and then run mdeols in realtime for trading outcomes
by Pranav K S•
Jan 27, 2020
This is a good introduction course, fourth week completely different or not aligned with course title.
by Lazaris A•
Mar 20, 2020
Nice theory very poor explaining in application not very useful to make you build a model
by Steve W•
Dec 28, 2019
Some good parts, but several sections were cobbled together from other courses I've taken
by Hilmi E•
Feb 01, 2020
The relationship between these three topics are somewhat loosely presented..
Jan 18, 2020
Not much learn from them, but whatever is there it's good.
by Jean-Luc B•
Jan 11, 2020
Material sometimes seems like a patchwork in random order.
by Joe M•
Apr 02, 2020
Good intro to concepts. Labs could use more thought.
by Alain T•
Apr 04, 2020
Good Introduction to Time Series, ML and GCP!
by Bryan D•
Jan 13, 2020
Ok as an introduction (it is what the title says after all), but I ended up doing a lot of things in the lab without really knowing why I was doing them (e.g. loading different libraries, a lot of the syntax, etc.). Granted I can research that on my own, but more guidance would have been appreciated.
More broadly, this course feels a bit chaotic, jumping from one topic to the other, and then getting back at a previous one. This is ok to explore the fundamentals, which is clearly the intent here, but more structure would be welcome. Particularly, the introduction to Jupyter notebooks coming at the end of the course, after three labs, feels a bit frustrating. On a similar note, the course really feels like (and clearly is) something that was patched together from bits and pieces of other courses, with often times instructors referring to "previous" topics that were not actually covered (e.g. random forests). For a paid specialisation, this feels a bit sub-par. I have had free Coursera courses that felt more consistant.
by Sam F•
Jan 03, 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.
by Oleksandr S•
Feb 02, 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.
by Michael K•
Jan 23, 2020
Lacks depth of most topics , too brief of an introduction
by Yaron G•
Jun 22, 2020
Not sure it is good material for real tradings bots
by Harshit M B•
Jun 12, 2020
No labs or quizzes for auditing students
by Guillermo B•
Aug 07, 2020
Very few real practical exercises.
by John Q•
Mar 02, 2020
of all the courses I've taken at Coursera, and I admit many times I took on too many courses at once and only partially finished. .....this one was the worst. Poorly put together, almost a mish-mash. Lectures that had a true information content of maybe 20%, presenters who on video were simply reading a script, Quizzes that were trivial to pass, Exercises/Labs that were no better than copy-paste exercises (or typing exercises if you felt that represented value). It's like they had to put together *something* for a 4 week course, so each part of the team got one of those weeks, ... and no one ever got together to review the overall gestalt. And, some of the videos were clearly coddled together from other only semi-randomly related courses. I shudder to think what would happen to Coursera if more of their courses were like this. A major FAIL for online learning.
by Steven K•
Dec 22, 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.
by Conor W•
Jan 21, 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.
Mar 13, 2020
It not available in China whatsoever. The course works fine. Yet the Qwiklabs are dumb. Even if you log in with a VPN, google will still block you because of geographic location, which is China. You should mention that at the info page or fix the problem.
by Edward L•
Feb 07, 2020
Constant headaches trying to get GCP to work. Even if you do get it to run without crashing (unlikely) you don't really learn much in the labs because they are already 100% written for you - its just run this code we provided.
by Santhosh R S•
Apr 25, 2020
More of theory.
Labs are not very poor. Doesn't explain the important part of code.
Intuition is not explained well.
Waste of money