New techniques were learnt regarding how to create a time-series signal and how they can be manipulated for forcasting and feeding to DNN networks.

A good intro course to time series prediction. Would have loved some more data analysis and other time series methods like ARIMA and seasonal ARIMA

course is good but it dont get deeper on using things like multivariate time series, in addition the course practice materials where kind of lax

A little bit too simple cuz it only covers univariate time series practice. Would be better if there's more multivariate time series exercise.

I was really waiting to predict 100 data that was similar to sequence, that being said; this was a good introduction to time series analysis.

its a nice course but instead of using synthetic data, it would have been better if we use real-time datasets for our practice and learning.

The programming exercise should not have been optional. But overall, this was an amazing course. A thumbs up from my side. Thanks a lot.

A lot of typos and I felt that making the Graded Exercises instead of Non Graded is a much better experience for us the students.

Good and easy to follow course to learn tensorflow. You need a background on Machine Learning to fully benefit from this course.

It is nice in introduction to the use of TF in time series. But a bit difficult in the code which without detail explanation.

I think this is a helpful introduction. It would have been helpful to delve into some multivariate sequence data examples.

It would be great if the projects at the end of each week were graded. They were easily solved using that week lesson.

This is the best course of the specialization. You learn about applying DNN, RNN, LSTM and CNN to time series data.

Great Course, enlights you were you should head. Although, it missed some further explanation of the steps used.

G​reat course! It would have been nice to teach something about multivariate time series forecasting as well

Have to complete Andrew Ng's Deeplearning as this is very basic course on top of that for time series data.

add more videos to clear deep understanding of time series and more graded practical assignments too...

Great course with in-depth knowledge of LSTM ! but not how LSTM is used on all practical applications.

Working With Sunset Kaggle Dataset was interesting.Waiting for upcoming courses in deep learning.

There should have been a multivariate Time series example in this course, Otherwise it was great

overall good... but was expecting a bit more of it , being the last course in the specialization

Good course it gives you quick start on practical aspects of Deep Learning techniques. Nice!

Very good course, but for me is much better Andrew NG style, when he writes on "blackboard."

I wish there was graded assignment as the quizzes are shallow and not enough to practice.

I would add some code assestments and challenges as requested for the previous courses.