AK
May 28, 2020
Very interesting course, I totally agree that there are very few courses that cover time-series analysis. I haven't tried BigQuery before. Looking forward to next courses in this specialization.
MS
Jan 29, 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.
By Michael M
•Apr 19, 2020
Pretty great course. Sometimes there was too much detail and other times not enough but overall I loved it.
By Brian B
•Apr 8, 2021
Was pretty good. Would be nice to have some links to resources on BQML specific query language.
By Soren B
•Apr 21, 2020
Good intro. Could use some additional work on the ARIMA model lab on tuning the parameters.
By Anirban S
•Jan 19, 2020
Introduces concepts in a lucid way albeit depending on some prerequisite knowledge at times.
By Alejandro A S
•Jul 14, 2020
the course is not very organized, the material presented are not clever in order
By Andrew S
•Jun 23, 2020
Shortage of practice but good for learning something new about stock markets.
By Iskander R
•Jun 6, 2020
Good as introductory course. Looking forward for more in depth topics. Thanks
By Alvar S I
•Sep 4, 2020
Muy bueno por conjugar muy bien el mercado de capitales con la programación
By Sergio G
•Apr 26, 2020
Easy to follow. It lacks of a more applied number of examples and cases.
By Ocin L
•Apr 10, 2020
More explanation on the lab and the function being use would be great!
By Ronnie Y
•May 9, 2020
Course content should include more practical in each section
By RENATO V M S
•Jul 2, 2021
Nice course but showing only the peak of the GCP iceberg!!!
By Kong
•Jan 1, 2021
Overall good experience. But first lab is confusing.
By domenico r
•Apr 13, 2020
I was expecting more coding on python
By Robin L
•Dec 21, 2020
please add more hands-on lab
By Wolfgang B
•May 4, 2020
Yes. Introduction level.
By David C C R
•Apr 19, 2020
Introductory course.
By Henry M
•Jan 19, 2020
Good introduction
By Rayantha S
•May 7, 2020
Very good course
By Sergio O
•Mar 27, 2020
Good!
By Charles C
•Nov 4, 2021
k
By Paolo D
•Jul 17, 2021
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
•Jan 19, 2020
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
•May 29, 2020
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.
By Loo T T
•Mar 1, 2020
The course isn't really for complete beginner. It requires additional readings and googling on your own to understand the gaps. The labs are great to provide hands-on application (albeit requiring some knowledge of Pandas, scikit-learn and statsmodels) and but I feel that some of the content could have been discussed more in details in the video lectures or as supplementary readings. Nevertheless if you are willing to spend extra time researching to understand better, this course is still great for you.