Issues with the lab coursers and practices must be resolve they are not updated

I wish better examples to cover everything was said during the lectures

Labs should be more engaging. And should probably move to Colab.

Useful but some codes are outdated and cannot be run.

Some resources are outdated

Mam wrażenie, że ten kurs to jest trochę o trading, a trochę o sztucznej inteligencji. Tak jakby ktoś wziął fragmenty z 2 różnych kursów i złożył w całość. Wykładowca mówiący o trading nic nie mówi o sztucznej inteligencji. Wykładowcy od AI opowiadają o tensorflow i Keras, ale przykłady są np. o cenach domów lub rozpoznawaniu pisanych odręcznie liczb.

Like the first course in the specialization, a little disjointed being from two resources. Tensorflow course was very long and tedious and in the end, I'll have to revisit or do another TF course to have solid notes and understanding. Trading piece was better, with interesting topics like PCA, Momentum, Hurst Exponent and Kalman Filters.

Trading tactics are good for new investors. Half the Labs are obsolete and do not run. My primary objective was the programing portion, so this was disappointing.

there are many codes don't work because it is not updated or maintenanced.

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

The topic is interesting, but the content introduced in this course is rather shallow. One could grasp the basic idea of pair trading / momentum trading after the course, but will still be very struggled to implement one. Also, the last two labs of the course couldn't work. For some reason the program cannot install auquan toolbox thus the programs don't work, which is very frustrating.

Too much telling not enough showing. Personally I would have been able to take in much more of the information in this course if the videos were more focused on implementing the strategies and explaining as they went along.

Too much of the lab material is out of date to the point that it's a struggle to just the everything to run. Sadly, that is some of the best material where the most learning would take place.

Content was excellent but labs were very poor because you spend 90% of your time trying to get the code to work rather than experimenting with the concepts you are trying to learn

Looks more like mash up differt courses . Many Qwiklabs do not work esop those related to finance in Trading Strategies using auquan_toolbox

The material presented was interesting, but multiple labs were broken. The labs are critical to learning by doing.

One of the instructor from Google Cloud just reads the slide instead of giving much insight.

I was greatly disappointed by this course. While the theoretical content was solid, offering insightful concepts for building a project, the practical execution fell short of expectations. I was excited to find a course that I thought it will guide me through a comprehensive, end-to-end machine learning trading project. Unfortunately, the practical components were plagued with issues: the workbooks were broken, the code was outdated, and there were no videos to explain the notebooks. Furthermore, the course did not effectively demonstrate how the theoretical concepts were applied in practice. Additionally, my attempts to seek clarification through the Discussion tab went unanswered. This course, unfortunately, did not deliver the hands-on learning experience I had anticipated.

This quite a low effort course. Some labs are just copy/pastes of blog posts. The "QwikLabs" are slow and painful to use, and most of them don't work anymore because they use Python packages that haven't been updated in many years.

And at no point do they actually demonstrate a strategy that shows any promise in the real world. Just vague talk of "hedging market risk" without evidence of anything performing better than chance. I have a funny feeling this is all an exercise in being fooled by randomness.

The course promises foundational knowledge, but it really needs an update. The code used in the labs and exercises is deprecated (too old) and depends on technologies that are no longer supported. Because of this, many of the practical examples ('labs') don’t work anymore. Updating the course with more current technologies would make it much more useful and worth the money.

I understand that this course is not about building the world's best high frequency trading model. On the other hand, it should at least be about making a serious attempt to build a trading model, which is something the series of courses has so far neglected to even attempt.

You should stop offering this course if you are not going to fix that Auquan no longer works. The code fix you suggested for the Yahoo Finance changes no longer works. Please see the discussion boards because this is true for many people.

It was not as practical as I thought.

In this course, complete contents are not expressed and it is necessary to search for topics.

Access to the lab is difficult to code. And coding exercises are not purposeful

Needs actual exercises. All of the programming examples are pre-written or copy/paste. No real hand on learning opportunities.

Outdated content for legacy systems. Presenters themselves say they can't use what they teach anymore.