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Course Outline

Introduction to Google Colab for Visualisation

  • Overview of Google Colab
  • Setting up Google Colab
  • Navigating the Google Colab interface

Getting Started with Data Visualisation

  • Importance of data visualisation
  • Introduction to Python visualisation libraries

Basic Plotting with Matplotlib

  • Creating simple plots
    • Line plots
    • Bar charts
    • Pie charts
  • Customising plots
    • Titles, labels, and legends
    • Colours, styles, and themes

Advanced Plotting with Matplotlib

  • Subplots and multiple plots
  • Working with annotations
  • Saving and exporting plots

Introduction to Seaborn

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

Customising Seaborn Plots

  • Aesthetics and themes
  • Advanced customisations
  • Combining Seaborn with Matplotlib

Handling and Visualising Real-world Datasets

  • Importing datasets
  • Cleaning and preparing data
  • Visualising complex data

Collaborative Visualisation Projects

  • Sharing and collaborating on notebooks
  • Real-time collaboration features
  • Best practices for collaborative projects

Tips and Best Practices

  • Effective data visualisation techniques
  • Avoiding common visualisation pitfalls
  • Enhancing visual appeal and clarity

Summary and Next Steps

Requirements

  • Basic knowledge of Python programming
  • Familiarity with basic data concepts

Audience

  • Data scientists
  • Data professionals
 14 Hours

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