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 Leonardo A•
Really good course
By J G•
By Andrei L•
I can only agree with previouss comments:
1) Overall Ok as an introductory course
2) Week 4 should be week 1
3) Week 4 videos are somewhat disjoint and by the references they make are clearly just fragments of other courses.
4) Concepts used in labs should be explained a bit better beforehand
5) Each lab should have a at lease one concrete try-this followed by an explanation of why the result is different, better or worse
By Jair E R L•
The course provides valuable content. It requires more than Python fundamentals in some topics, but it is ok because the student must investigate out of the course's material.
There is an emphasis on Google's tools, which are very interesting, but the course should be more agnostic on this matter in order that the student has wider spectrum of resources available.
By Jakub K•
I learned a few cool things. The main problem with this specialization is that the Machine Learning Stuff and Finance stuff are really separated (Google, NY univ). What I was looking for is the place where two concepts meets. Also i felt like ML stuff went too deeply too fast. Still... Cool Introduction.
By Carlos V•
Good course on the applications of ML to stock trading, examples are quite nice and the labs provide explanations on how to utilize the ML libraries available, recommended for anyone interested on more time-series type of analysis and ML
By Ramzy K•
Very good intro to trading, despite the confusion from having multiple lectures collected from different courses, because they keep mentioning resources in the videos that doesn't relate to this course.
By Lucas R A•
Good introduction to quant theory and ML, labs could be a lot better though, they lack proper explanations and don't cover some of the basics necessary to complete them.
By Debashish D G•
The lectures appear to jump around a bit. Looks like it was stitched together from different places. So the course lacks a continuity I have seen in other courses.
By Piero R•
It's a good course, but the volume is TOO LOW, and they don't go into detail in the programming phase for python. but it's good overall.
By Samuel T•
Some of the content in Week 4, might be better placed earlier in the course. Other than that it was a great learning experience.
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 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
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