Great course! Learned a lot! However, I would recommend to include more useful solution videos for the labs. You practically see someone run the code without explaining much about the solution and/or underlying strategy.

Great content, nice speakers and interesting knowledge, the only issue I have are some of the labs are quite out of date with regards to libraries and APIs used, other than that it's great

Very Good Course, Rich in Material, Very useful.

Only some lab can not successfully functional. ( wihile downloading stock data )

Great introduction to time series analysis of stockprices and how to use statistics to determine market entrance and exit.

Such a great course, the introduction(first part in specialization) was kinda useless for me, but this one is amazing.

Excelente curso. Se entiende el uso del Machine Learning en Trading y Finanza..!

Very Good! Basic strategies explored in depth and applied in coding labs.

Great course for the trading, clear structure and easy to understand.

In GCP getting error while importing the data from Yahoo finance.

Very good course. Applications are very useful and understandable

good explanation of concepts and application of concepts

Excelente curso muy interactivo y explica muy bien

Thank you for this amazing content =)

Really informative

LOVEEEEEE IT!!

Thanks! - Emma

Great content

Thank

Great

I've found this course quite interesting because it makes you apply the theory explained in the lessons in the various labs both in the trading part and the Deep Learning part. Having been exposed to PyTorch previously I found Tensorflow and Keras intuitive and easy to use. The APIs are fairly similar. Even though the part about the trading strategies was treated not in-depth, I've enjoyed the labs and learned a lot from it, and got lots of inputs for future possible strategies. One downside of this course is the library used for backtesting, I wasn't able to download the data using the library, maybe because the notebooks weren't up to date with the library or the library has an undiscovered bug. Despite this little hindrance, the notebooks are really valuable!

I found this course to be valuable. The tour into pairs trading, PCA, and scree plots was especially good. This course offers a guided tour of machine learning in finance, which is exactly what I sought. The Week 3 lab needs to be improved. I just completed it, and found it to be the worse lab of the two courses I have taken for this specialization. I left a full review about that lab. Unfortunately, with this lab in place, this course only deserves 4 starts.

The combination of GCP+Tensorflow+Keras+Auquan+Theory is very attractive, but it is too much to cram into a single course. I thought it would be much deeper on the financial theory side. The Auquan part is directly useful as one needs a good backtesting tool and this is probably the best/only one. But I do not necessarily need Keras/TF and I definitely do not need GCP details so much, as I may end up using a different cloud and ML library.

There are some good trading strategy concepts introduced in this course. However, the link between trading strategy and ML is superficial. Maybe, if the course part related to ML and GCP is taken out, this course would be a sure 5-start worth.

It's not deep enough to understand how to implement ML in algorithmic trading, but the course explains some helpful concepts like pairs trading and Kalmar filter.

Although the often glitches in the Google Cloud platform prevented me to complete the exercises, the course material is very useful.