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 Duration 14 hours

Course Outline

Introduction to Google Colab for Visualization

  • Overview of Google Colab
  • Setup of Google Colab
  • Exploring the Google Colab interface

Getting Started with Data Visualization

  • The role of data visualization
  • Introduction to Python visualization libraries

Basic Plotting with Matplotlib

  • Creating simple plots
    • Line plots
    • Bar charts
    • Pie charts
  • Modifying plot appearances
    • Titles, labels, and legends
    • Colors, styles, and themes

Advanced Plotting with Matplotlib

  • Subplots and composite plots
  • Managing annotations
  • Saving and exporting visualizations

Introduction to Seaborn

  • Overview of Seaborn
  • Generating statistical plots
    • Distribution plots
    • Regression plots
    • Categorical plots

Customizing Seaborn Plots

  • Aesthetics and themes
  • Advanced customization techniques
  • Integrating Seaborn with Matplotlib

Handling and Visualizing Real-world Datasets

  • Importing datasets
  • Data cleaning and preparation
  • Visualizing complex data structures

Collaborative Visualization Projects

  • Sharing and co-authoring notebooks
  • Real-time collaboration tools
  • Best practices for team projects

Tips and Best Practices

  • Effective visualization strategies
  • Avoiding common visualization errors
  • Improving visual impact and clarity

Summary and Next Steps

Requirements

  • Foundational understanding of Python programming
  • Basic grasp of core data concepts

Target Audience

  • Data scientists
  • Data professionals

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