Building Big Data Pipelines with PySpark + MongoDB + Bokeh

Online Course

Udemy
Building Big Data Pipelines with PySpark + MongoDB + Bokeh

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

Prerequisites & Facts

Building Big Data Pipelines with PySpark + MongoDB + Bokeh

Course Topic

Business, Data Analytics, Decision Making

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

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

Degree

Certificate

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.
Udemy
Building Big Data Pipelines with PySpark + MongoDB + Bokeh
provided by Udemy

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School: Udemy
Topic: Data Science, Development, PySpark