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Cleaning an Orders Dataset with PySpark

AdvancedSkill Level
4.7+
30 reviews
Updated 07/2024
Step into a data engineer's shoes and master data cleaning with PySpark on an e-commerce orders dataset!
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SparkData EngineeringData Preparation1 hour1 Task1,500 XP

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Project Description

Cleaning an Orders Dataset with PySpark

Data cleaning is an essential skill for any data professional.In this project, you will step into a role of a data engineer at an e-commerce company and use PySpark, a powerful tool for data processing, to clean an orders dataset.This hands-on experience will sharpen your ability to format, extract and amend data for further analysis.

Cleaning an Orders Dataset with PySpark

Step into a data engineer's shoes and master data cleaning with PySpark on an e-commerce orders dataset!
Start Project for Free
  • 1

    Task 1

Don’t just take our word for it

*4.7
from 30 reviews
77%
23%
0%
0%
0%
  • Khalid
    2 days

  • Felipe
    3 days

  • Àngel
    6 days

  • Muhammad
    about 24 hours

  • ARATHY
    2 days

    filter did not work with column != "tv" and had to use negated column contains tv

  • Sakshi
    3 days

    thank you

Khalid

Felipe

Àngel

    Join over 17 million learners and start Cleaning an Orders Dataset with PySpark today!

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    By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.