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Data Manipulation in Python

Take the pain out of data manipulation using pandas. You’ll learn how to transform, sort, and filter data in DataFrames, ready for quick analysis.
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PythonData Manipulation16 hours16,609

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Track Description

Data Manipulation in Python

Real-world data is messy. That’s why libraries like pandas are so valuable. Using pandas, you can take the pain out of data manipulation by extracting, filtering, and transforming data in DataFrames, clearing a path for quick and reliable data analysis.  If you want to improve your data wrangling skills, this is the track for you. You’ll learn how to prepare real-world data for analysis and grow your expertise as you work with multiple DataFrames using pandas. You’ll also gain hands-on experience of how to combine, merge, and create visualizations. At the end of the track, you'll learn all about NumPy arrays and use New York City’s tree census data to create, sort, filter, and update arrays. Start this track and discover how pandas and NumPy can save you time manipulating data.

Prerequisites

There are no prerequisites for this track
  • Course

    1

    Data Manipulation with pandas

    Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

  • Course

    Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

  • Course

    Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

  • Skill Assessment

    bonus

    Data Manipulation with Python

Data Manipulation in Python
4 courses
Track
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