Course Outline
Introduction to Google Colab for Visualization
- Overview of Google Colab
- Setting up Google Colab
- Navigating the Google Colab interface
Getting Started with Data Visualization
- Importance of data visualization
- Introduction to Python visualization libraries
Basic Plotting with Matplotlib
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Creating simple plots
- Line plots
- Bar charts
- Pie charts
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Customizing plots
- Titles, labels, and legends
- Colors, styles, and themes
Advanced Plotting with Matplotlib
- Subplots and multiple plots
- Working with annotations
- Saving and exporting plots
Introduction to Seaborn
- Overview of Seaborn
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Creating statistical plots
- Distribution plots
- Regression plots
- Categorical plots
Customizing Seaborn Plots
- Aesthetics and themes
- Advanced customizations
- Combining Seaborn with Matplotlib
Handling and Visualizing Real-world Datasets
- Importing datasets
- Cleaning and preparing data
- Visualizing complex data
Collaborative Visualization Projects
- Sharing and collaborating on notebooks
- Real-time collaboration features
- Best practices for collaborative projects
Tips and Best Practices
- Effective data visualization techniques
- Avoiding common visualization pitfalls
- Enhancing visual appeal and clarity
Summary and Next Steps
Requirements
- Fundamental understanding of Python programming
- Knowledge of basic data concepts
Target Audience
- Data scientists
- Data professionals
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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Testimonials (2)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
The content is very helpful, and the trainer makes it more easier to understand