Chevron Left
Back to Simulating Time Series Data by Parallel Computing in Python

Learner Reviews & Feedback for Simulating Time Series Data by Parallel Computing in Python by Coursera Project Network

5.0
stars
7 ratings
3 reviews

About the Course

By the end of this project, you will learn how to simulate large datasets from a small original dataset using parallel computing in Python, a free, open-source program that you can download. Sometimes large datasets are not readily available when a project has just started or when a proof of concept prototype is required. In this project, you will learn how to find the rate of change of a time dependent parameter. Next, you will learn how to simulate large number of values using the starmap function. Lastly, you will learn how to simulate large datasets while maintaining the original correlation between columns using a custom function passed to parallel processes. In this project, you will generate 10000 time dependent samples from an initial dataset containing just 20 samples. In reality, you can use several parallel processes and can generate millions of new time dependent samples which can be used to experiment a new big data product or solution. Note: You will need a Gmail account which you will use to sign into Google Colab. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews

Filter by:

1 - 3 of 3 Reviews for Simulating Time Series Data by Parallel Computing in Python

By Jorge H G G

Feb 26, 2021

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.

By Claudia B

Apr 3, 2021

The course is extremely well structured; at the same time it is straightforward, it is helpful in building student knowledge and experience gradually and effectively

By Suramya S

Dec 23, 2020

useful.