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Introduction to PySpark

IntermediateSkill Level
4.8+
679 reviews
Updated 03/2025
Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!
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SparkData Engineering4 hours11 videos36 Exercises2,850 XP7,900Statement of Accomplishment

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Course Description

This course is perfect for data engineers, data scientists, and machine learning practitioners looking to work with large datasets efficiently. Whether you're transitioning from tools like Pandas or diving into big data technologies for the first time, this course offers a solid introduction to PySpark and distributed data processing.

Why Spark? Why Now?

Discover the speed and scalability of Apache Spark, the powerful framework designed for handling big data. Through interactive lessons and hands-on exercises, you'll see how Spark's in-memory processing gives it an edge over traditional frameworks like Hadoop. You'll start by setting up Spark sessions and dive into core components like Resilient Distributed Datasets (RDDs) and DataFrames. Learn to filter, group, and join datasets with ease while working on real-world examples.

Boost Your Python and SQL Skills for Big Data

Learn how to harness PySpark SQL for querying and managing data using familiar SQL syntax. Tackle schemas, complex data types, and user-defined functions (UDFs), all while building skills in caching and optimizing performance for distributed systems.

Build Your Big Data Foundations

By the end of this course, you'll have the confidence to handle, query, and process big data using PySpark. With these foundational skills, you'll be ready to explore advanced topics like machine learning and big data analytics.

Prerequisites

Introduction to SQLData Manipulation with pandas
1

Introduction to Apache Spark and PySpark

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2

PySpark in Python

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3

Introduction to PySpark SQL

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Introduction to PySpark
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  • Danny
    about 4 hours

  • Joshua
    about 6 hours

  • Alemu
    about 6 hours

  • Claudio
    about 7 hours

  • Benjamin
    about 7 hours

  • Shivasis
    about 8 hours

Danny

Joshua

Alemu

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