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Foundations of PySpark

Intermediate
4.7+
336 reviews
Updated 05/2025
Learn to implement distributed data management and machine learning in Spark using the PySpark package.
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SparkData Engineering4 hours45 Exercises3,850 XP154,464Statement of Accomplishment

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Course Description

In this course, you'll learn how to use Spark from Python! Spark is a tool for doing parallel computation with large datasets and it integrates well with Python. PySpark is the Python package that makes the magic happen. You'll use this package to work with data about flights from Portland and Seattle. You'll learn to wrangle this data and build a whole machine learning pipeline to predict whether or not flights will be delayed. Get ready to put some Spark in your Python code and dive into the world of high-performance machine learning!

Prerequisites

Introduction to Python
1

Getting to know PySpark

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2

Manipulating data

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3

Getting started with machine learning pipelines

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4

Model tuning and selection

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Foundations of PySpark
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*4.7
from 336 reviews
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  • Natalia
    3 days

  • Yuki
    4 days

  • Bharath
    4 days

  • Ben
    4 days

  • Gabriel
    5 days

  • Dereje
    2 days

Natalia

Yuki

Bharath

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