MS
29 янв. 2020 г.
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.
AJ
20 нояб. 2020 г.
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.
автор: Rafiul H N
•2 июня 2020 г.
The course was great from Google's point but from the "New York Institute of Finance", it was confusing and not helpful.
автор: Pranesh
•5 мая 2020 г.
I expected to understand how we'd interact with the exchanges and then run mdeols in realtime for trading outcomes
автор: Pranav K S
•26 янв. 2020 г.
This is a good introduction course, fourth week completely different or not aligned with course title.
автор: Константин К
•31 авг. 2020 г.
So many words in that course and so little knowledge. For me, it was wasting time on 80%.
автор: Angelos L
•20 мар. 2020 г.
Nice theory very poor explaining in application not very useful to make you build a model
автор: Steve W
•28 дек. 2019 г.
Some good parts, but several sections were cobbled together from other courses I've taken
автор: Hilmi E
•1 февр. 2020 г.
The relationship between these three topics are somewhat loosely presented..
автор: Andy M
•4 авг. 2021 г.
I would like to see more specific coding examples for trading strategies.
автор: andy
•20 мар. 2021 г.
its ok but too elementary while not having more konwledge on finance side
автор: Animesh
•18 янв. 2020 г.
Not much learn from them, but whatever is there it's good.
автор: Jean-Luc B
•11 янв. 2020 г.
Material sometimes seems like a patchwork in random order.
автор: Juan J M C
•27 дек. 2020 г.
some videos are from other courses.. not exist practice
автор: Joe M
•1 апр. 2020 г.
Good intro to concepts. Labs could use more thought.
автор: Alain T
•4 апр. 2020 г.
Good Introduction to Time Series, ML and GCP!
автор: Sam F
•3 янв. 2020 г.
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.
автор: Bartłomiej N
•14 нояб. 2021 г.
Course is OK but one of the labs is broken and the provided commands don't work and other one has a jupyter notebook with use of outdated python library for ARIMA and it doesn't work with new version
автор: Oleksandr S
•2 февр. 2020 г.
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.
автор: Adrien S
•28 окт. 2020 г.
The course was ok but a bit disjointed, especially week 4 which felt like it was "cut-and-pasted" into the course from other courses and didn't have much cohesion.
автор: Alexander K
•31 янв. 2022 г.
Course may have some interesting instruction but about half of it is an elaborate advertisement for unnecessary google products. Not worth it.
автор: Jonathan S
•13 сент. 2020 г.
Actual programming was nonexistent, the assignments just had you run already-written jupyter notebooks
автор: Michael K
•23 янв. 2020 г.
Lacks depth of most topics , too brief of an introduction
автор: Yaron G
•22 июня 2020 г.
Not sure it is good material for real tradings bots
автор: Harshit M
•12 июня 2020 г.
No labs or quizzes for auditing students
автор: Guillermo B
•7 авг. 2020 г.
Very few real practical exercises.
автор: Atif H
•16 июля 2022 г.
too basic.