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Introduction to Data Wrangling, Cleaning, Analysis, and Visualization with Python and Pandas

Introduction to Data Wrangling, Cleaning, Analysis, and Visualization with Python and Pandas

A GC Digital Research Institute Workshop
  • Lessons
    • 1. The Dataset and Ethical Considerations
    • 2. Preparing your workspace and folders
    • 3. Working with Jupyter Notebook
    • 4. Getting started with Pandas
    • 5. Data exploration
    • 6. Basic data cleaning
    • 7. Summary statistics
    • 8. Rename, select, drop, and add new columns
    • 9. Sort Columns, Groupby Columns, & Count values
    • 10. Basic data visualizations
    • 11. Write to CSV
    • 12. Building your Pandas skills with the Pandas documentation and other resources

Lessons

  • 1. The Dataset and Ethical Considerations
  • 2. Preparing your workspace and folders
  • 3. Working with Jupyter Notebook
  • 4. Getting started with Pandas
  • 5. Data exploration
  • 6. Basic data cleaning
  • 7. Summary statistics
  • 8. Rename, select, drop, and add new columns
  • 9. Sort Columns, Groupby Columns, & Count values
  • 10. Basic data visualizations
  • 11. Write to CSV
  • 12. Building your Pandas skills with the Pandas documentation and other resources
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