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Course Outline

Getting to Know Google Colab for Visualization

  • Introduction to Google Colab
  • Configuring Google Colab
  • Exploring the Google Colab interface

Foundations of Data Visualization

  • The significance of data visualization
  • Overview of Python visualization libraries

Fundamental Plotting with Matplotlib

  • Generating basic plots
    • Line graphs
    • Bar charts
    • Pie charts
  • Adjusting plot attributes
    • Titles, labels, and legends
    • Colors, styles, and themes

Sophisticated Plotting with Matplotlib

  • Subplots and multi-figure arrangements
  • Using annotations effectively
  • Saving and exporting visualizations

Discovering Seaborn

  • Seaborn fundamentals
  • Building statistical plots
    • Distribution plots
    • Regression plots
    • Categorical plots

Customizing Seaborn Visualizations

  • Aesthetic considerations and themes
  • Advanced customization options
  • Integrating Seaborn with Matplotlib

Managing and Visualizing Real-world Data

  • Loading datasets
  • Data cleaning and preparation
  • Visualizing intricate datasets

Team-Based Visualization Projects

  • Sharing and working together on notebooks
  • Real-time collaboration capabilities
  • Best practices for collaborative efforts

Best Practices and Pro Tips

  • Efficient data visualization strategies
  • Preventing common visualization errors
  • Improving visual aesthetics and clarity

Conclusion and Future Directions

Requirements

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

Target Audience

  • Data scientists
  • Data professionals
 14 Hours

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