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.
I thought this was excellent. Some familiarity with standard SQL is needed to get the most benefit from the materials, and the course is clearly aimed at GCP users.
by Martin L•
Even are more basic knowledge of Trading and ML, still with specific data relative Trading and finance, Great!
by Benjamin P•
Not as much coding as I would have wanted, or atleast exposure to code. Very solid historical context though.
by Mike M•
Pretty great course. Sometimes there was too much detail and other times not enough but overall I loved it.
by Brian B•
Was pretty good. Would be nice to have some links to resources on BQML specific query language.
by Soren B•
Good intro. Could use some additional work on the ARIMA model lab on tuning the parameters.
by Anirban S•
Introduces concepts in a lucid way albeit depending on some prerequisite knowledge at times.
by Alejandro A S•
the course is not very organized, the material presented are not clever in order
by Andrey S•
Shortage of practice but good for learning something new about stock markets.
by Iskander R•
Good as introductory course. Looking forward for more in depth topics. Thanks
by Alvar S I•
Muy bueno por conjugar muy bien el mercado de capitales con la programación
by Sergio G•
Easy to follow. It lacks of a more applied number of examples and cases.
by Ocin L•
More explanation on the lab and the function being use would be great!
by Yip Y C•
Course content should include more practical in each section
by RENATO V M S•
Nice course but showing only the peak of the GCP iceberg!!!
Overall good experience. But first lab is confusing.
by domenico r•
I was expecting more coding on python
by Robin L•
please add more hands-on lab
by Wolfgang B•
Yes. Introduction level.
by David C C R•
by Henry M•
by Rayantha S•
Very good course
by Sergio O•
by Paolo D•
I found this course to be very approximate as if it just wanted to give a high-level idea of the concepts it covered. But maybe, that is the actual goal of the course: give an idea of how ML concepts can be applied to the finance domain and then let the student deepen and practice with the techniques shown. The parts that I've found to give more interesting, even though they have not been covered in detail, are the quant strategies and the time series one. The ML part, coming from an ML background, is well explained but they have been formulated only to give a high-level idea without going into the mathematical details(which I think it's outside of the scope of this course). Regarding the lab part, I didn't enjoy the BiqQuery part while I've loved the lab with Jupiter notebooks (I'm a little biased here). I would have liked more math details, but again that is just a personal preference.
by Alexey L•
First 3 weeks were quite good, although I found lack of lab practice. The time limitations on using GCP account were slightly pushing to complete it fast without having time for thorough thinking and experimenting. Although they could be restarted - the work had to be recreated again when this happened. Last week was very shallow and non-consequent and looked like it should be the first week as there were explanations of ML and GCP AI Notebooks. Which had been used during already during the first 3 weeks. Although I'm impressed with GCP platform and its AI capabilities, I felt like it had been highly advertised and selling though the course, where my personal preference would be learning more of algorithms and experimenting and using GCP just as one a tool.
by Biagio B•
Most of the course is used to advertise GoogleCloud, in particular BigQuery, instead of teaching more general concepts. At least now I know what BigQuery is and, as a python programmer, I won't be using it since I don't want to learn a new language used and managed only by Google. The AI notebooks are awesome though! Exactly the opposite of BigQuery: uses a language and tools that everyone knows (python notebook) but on a virtual machine managed in the cloud. About the teachings, I learn a bit more about time series, but just the tip of the iceberg really, nothing applicable. Looking forward to the real deal, opefully in the next course.