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Thursday, September 13, 2018

SGLearn@From 0 to 1 : Spark for Data Science with Python


SGLearn@From 0 to 1 : Spark for Data Science with Python

This is an Adapted Course for Singaporeans picking up new skillsets and competencies under the CITREP+ Scheme.

What Will I Learn?
  • Use Spark for a variety of analytics and Machine Learning tasks
  • Implement complex algorithms like PageRank or Music Recommendations
  • Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings
  • Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX
Includes
  • 8.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Requirements
  • The course assumes knowledge of Python. You can write Python code directly in the PySpark shell. If you already have IPython Notebook installed, we'll show you how to configure it for Spark
  • For the Java section, we assume basic knowledge of Java. An IDE which supports Maven, like IntelliJ IDEA/Eclipse would be helpful
  • All examples work with or without Hadoop. If you would like to use Spark with Hadoop, you'll need to have Hadoop installed (either in pseudo-distributed or cluster mode).

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