Scalable Data Analysis in Python with Dask

Online Course

Udemy

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What is the course about?

Scalable Data Analysis in Python with Dask

The course Scalable Data Analysis in Python with Dask is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Build high-performance, distributed, and parallel applications in Dask

Course description

Scalable Data Analysis in Python with Dask

Understand the concept of Block algorithms and how Dask leverages it to load large data
Implement various example using Dask Arrays, Bags, and Dask Data frames for efficient parallel computing
Combine Dask with existing Python packages such as NumPy and pandas
See how Dask works under the hood and the various in-built algorithms it has to offer
Leverage the power of Dask in a distributed setting and explore its various schedulers

Working knowledge of Python coding and familiarity with Python libraries would be beneficial.

3.5 hours on-demand video
1 downloadable resource
Full lifetime access
Access on mobile and TV
Certificate of Completion
Packt Publishing

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Prerequisites & Facts

Scalable Data Analysis in Python with Dask

Course Topic

Development, Python, Web Development

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Scalable Data Analysis in Python with Dask

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.

Udemy

Scalable Data Analysis in Python with Dask

provided by Udemy

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