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
- Basic knowledge of Python programming
- Familiarity with basic data concepts
Audience
- Data scientists
- Data professionals
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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