Real-World Data Science with Spark 2

Online Course

Udemy
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Real-World Data Science with Spark 2
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Real-World Data Science with Spark 2
The course Real-World Data Science with Spark 2 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.

Address Big Data challenges with the fast and scalable features of Spark.

Course description
  • Real-World Data Science with Spark 2
  • An introduction to Big Data and data science
  • Get to know the fundamentals of Spark 2
  • Understand Spark and its ecosystem of packages in data science
  • Consolidate, clean, and transform your data acquired from various data sources
  • Unlock the capabilities of various Spark components to perform efficient data processing, machine learning, and graph processing
  • A basic knowledge of statistics and computational mathematics
  • Prior knowledge of Python and Scala would be beneficial
  • 3.5 hours on-demand video
  • 13 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing
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Prerequisites & Facts

Real-World Data Science with Spark 2

Course Topic

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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

Real-World Data Science with Spark 2

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
Real-World Data Science with Spark 2
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Reviews

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School: Udemy
Topic: Apache Spark, Data Science, Development

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