Coursera Project Network
PySpark Foundations: Process, analyze, and summarize data
Coursera Project Network

PySpark Foundations: Process, analyze, and summarize data

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Learn, practice, and apply job-ready skills with expert guidance
Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Process large datasets using PySpark, including data loading, cleaning, and preprocessing.

  • Perform data exploration and visualization using dataframe operations.

  • Perform data aggregation and summarization using PySpark and dataframe operations.

Details to know

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Taught in English
Recently updated!

November 2024

No downloads or installation required

Only available on desktop

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Set up and overview of the project

  2. Load the data

  3. Clean and preprocess the data

  4. Explore the data

  5. Practice Activity: Explore the data

  6. Aggregate and summarize the data

  7. Join the data sets

  8. Cumulative Activity: Analyze employees’ retention

Recommended experience

Basic Python syntax, data structures, and data frame operations like filtering, grouping, and summarizing data.

7 project images

Instructor

Arimoro Olayinka Imisioluwa
Coursera Project Network
26 Courses47,464 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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