Building Big Data Pipelines with PySpark + MongoDB + Bokeh

Online Course

Udemy

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What is the course about?
Prerequisites & Facts
Cost, Certificate & Degree
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What is the course about?

Building Big Data Pipelines with PySpark + MongoDB + Bokeh

The course Building Big Data Pipelines with PySpark + MongoDB + Bokeh 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 intelligent data pipelines with big data processing and machine learning technologies

Course description

Building Big Data Pipelines with PySpark + MongoDB + Bokeh

PySpark Programming
Data Analysis
Python and Bokeh
Data Transformation and Manipulation
Data Visualization

Basic Understanding of Python
Little or no understanding of GIS
Basic understanding of Programming concepts
Basic understanding of Data
Basic understanding of what Machine Learning is

5 hours on-demand video
1 article
1 downloadable resource
Full lifetime access
Access on mobile and TV
Certificate of Completion
EBISYS R&D

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Prerequisites & Facts

Building Big Data Pipelines with PySpark + MongoDB + Bokeh

Course Topic

Data Science, Development, PySpark

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

Building Big Data Pipelines with PySpark + MongoDB + Bokeh

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.

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Building Big Data Pipelines with PySpark + MongoDB + Bokeh

provided by Udemy

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