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Python and Spark for Big Data (PySpark)

 21 Hours

In this instructor-led, live training in Uzbekistan, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.

By the end of this training, participants will be able to:

  • Learn how to use Spark with Python to analyze Big Data.
  • Work on exercises that mimic real world cases.
  • Use different tools and techniques for big data analysis using PySpark.
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Python and Spark for Big Data for Banking (PySpark)

 14 Hours

Python is a high-level programming language famous for its clear syntax and code readibility. Spark is a data processing engine used in querying, analyzing, and transforming big data. PySpark allows users to interface Spark with Python.

Target Audience: Intermediate-level professionals in the banking industry familiar with Python and Spark, seeking to deepen their skills in big data processing and machine learning. 

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Pawel Kozikowski - GE Medical Systems Polska Sp. Zoo

Course - Python and Spark for Big Data (PySpark)

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