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Beginnt 4 June 2026 02:03
Endet 4 June 2026
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2 weeks, 5 hours a week
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Übersicht
Data visualisations are ongoing proof that a picture is worth a thousand words. Learning to effectively turn data insights into visual language is a highly sought-after skill, as businesses around the world struggle to turn their data into useful, digestible insights.
Lehrplan
- Introduction to Data Visualization
- Understanding Data
- Principles of Effective Data Visualization
- Tools and Software for Data Visualization
- Designing Visualizations
- Best Practices in Data Visualization
- Hands-On Projects
- Review and Future Trends
Definition and Importance
History and Evolution of Data Visualization
Overview of Tools and Technologies
Types of Data (Qualitative vs. Quantitative)
Basic Data Structure and Terminology
Data Sources and Collection Methods
Choosing the Right Chart Type
Visual Elements: Color, Shape, and Line
Avoiding Misleading Visuals
Introduction to Microsoft Excel
Overview of Tableau
Basic Features of Power BI
Creating Charts and Graphs
Crafting Dashboard Layouts
Interactive versus Static Visualizations
Simplicity and Clarity
Storytelling with Data
Accessibility and Inclusivity
Simple Dataset Visualization using Excel
Building a Basic Dashboard in Tableau
Creating Interactive Visualizations with Power BI
Recap of Key Concepts
Emerging Technologies and Trends in Data Visualization
Next Steps for Further Learning
Unterrichtet von
Marc Espos
Fachgebiete
Data Science