15 Topics
10 Days
72 Sessions
Programme Overview
Training Description
Who Should Attend
This course is ideal for;
- Data Analysts
- Business Intelligence Professionals
- Data Scientists
- Reporting Specialists
- Dashboard Developers
- Data Visualization Specialists
- Anyone needing advanced visualization skills
Session Objectives
- Understand the fundamentals of advanced data visualization with Tableau/Power BI.
- Master the creation of interactive dashboards for Big Data.
- Utilize advanced charting techniques for complex data representation.
- Optimize dashboard performance for large datasets.
- Implement data storytelling and narrative techniques.
- Integrate advanced data analysis features into dashboards.
- Design user-friendly and intuitive dashboards.
- Troubleshoot and debug visualization issues.
- Implement data security and access control in visualizations.
- Integrate Tableau/Power BI with various data sources.
- Understand how to monitor and maintain dashboards.
- Explore advanced visualization patterns and techniques.
- Apply real world use cases for advanced data visualization.
About the Course
Communicating complex Big Data insights across enterprise leadership demands sophisticated visualization architectures and user-centric dashboard design. The Advanced Data Visualization with Tableau/Power BI Training Course delivers an intensive, practical curriculum focused on interactive reporting, advanced visual analytics, and dashboard performance tuning. Tailored for Data Analysts, Business Intelligence Professionals, and Data Scientists, this course provides direct experience using industry-leading platforms like Tableau and Power BI to build scalable visual interface models. Participants leave equipped to construct dynamic analytics dashboards, eliminate performance bottlenecks on large datasets, and deliver clear, data-driven stories across all business units.
Curriculum & Topics
15 Topics | 72 Sessions
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Workshop 1.1:
Fundamentals of advanced data visualization.
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Workshop 1.2:
Overview of Tableau and Power BI capabilities.
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Workshop 1.3:
Setting up a visualization development environment.
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Workshop 1.4:
Introduction to advanced visualization concepts.
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Workshop 1.5:
Best practices for advanced visualization.
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Workshop 2.1:
Designing interactive dashboards for Big Data.
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Workshop 2.2:
Implementing drill-down and filter functionalities.
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Workshop 2.3:
Utilizing action filters and parameters.
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Workshop 2.4:
Creating dynamic and responsive dashboards.
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Workshop 2.5:
Best practices for dashboard design.
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Workshop 3.1:
Implementing advanced chart types (treemaps, sankey charts).
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Workshop 3.2:
Utilizing custom calculations and aggregations.
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Workshop 3.3:
Creating geospatial visualizations and maps.
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Workshop 3.4:
Implementing advanced time series analysis.
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Workshop 3.5:
Best practices for advanced charting.
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Workshop 4.1:
Optimizing dashboard performance for large datasets.
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Workshop 4.2:
Utilizing data extracts and aggregations.
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Workshop 4.3:
Implementing query optimization techniques.
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Workshop 4.4:
Utilizing performance recording and analysis.
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Workshop 4.5:
Best practices for performance optimization.
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Workshop 5.1:
Implementing data storytelling principles.
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Workshop 5.2:
Utilizing narrative techniques for effective communication.
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Workshop 5.3:
Creating guided analytics and interactive presentations.
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Workshop 5.4:
Designing dashboards for specific audiences.
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Workshop 5.5:
Best practices for data storytelling.
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Workshop 6.1:
Implementing advanced calculations and table calculations.
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Workshop 6.2:
Utilizing predictive analytics and forecasting.
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Workshop 6.3:
Implementing statistical analysis in visualizations.
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Workshop 6.4:
Creating interactive reports and summaries.
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Workshop 6.5:
Best practices for data analysis.
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Workshop 7.1:
Designing intuitive and user-friendly dashboards.
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Workshop 7.2:
Implementing accessibility and usability guidelines.
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Workshop 7.3:
Creating consistent and visually appealing dashboards.
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Workshop 7.4:
Utilizing design principles for effective communication.
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Workshop 7.5:
Best practices for user-friendly design.
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Workshop 8.1:
Debugging visualization issues and errors.
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Workshop 8.2:
Analyzing performance and data issues.
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Workshop 8.3:
Utilizing debugging tools and techniques.
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Workshop 8.4:
Resolving common visualization problems.
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Workshop 8.5:
Best practices for troubleshooting.
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Workshop 9.1:
Implementing data security in visualizations.
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Workshop 9.2:
Utilizing user authentication and authorization.
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Workshop 9.3:
Implementing data access control and row-level security.
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Workshop 9.4:
Managing data permissions and privileges.
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Workshop 9.5:
Best practices for security.
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Workshop 10.1:
Integrating Tableau/Power BI with various data sources.
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Workshop 10.2:
Utilizing data connectors and APIs.
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Workshop 10.3:
Implementing data blending and relationships.
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Workshop 10.4:
Managing data connections and data sources.
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Workshop 10.5:
Best practices for data integration.
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Workshop 11.1:
Monitoring dashboard performance and usage.
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Workshop 11.2:
Implementing dashboard maintenance strategies.
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Workshop 11.3:
Utilizing monitoring tools and techniques.
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Workshop 11.4:
Managing dashboard updates and changes.
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Workshop 11.5:
Best practices for monitoring.
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Workshop 12.1:
Implementing advanced visualization patterns (small multiples, parallel coordinates).
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Workshop 12.2:
Utilizing custom visualizations and extensions.
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Workshop 12.3:
Implementing interactive data exploration tools.
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Workshop 12.4:
Advanced techniques for data representation.
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Workshop 12.5:
Best practices for advanced patterns.
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Workshop 13.1:
Deploying visualizations on cloud platforms.
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Workshop 13.2:
Utilizing cloud-based visualization services.
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Workshop 13.3:
Optimizing cloud resources for visualizations.
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Workshop 13.4:
Best practices for cloud deployment.
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Workshop 14.1:
Implementing data governance policies in visualizations.
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Workshop 14.2:
Utilizing metadata management tools.
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Workshop 14.3:
Implementing data lineage and data dictionary.
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Workshop 14.4:
Best practices for data governance.
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Workshop 15.1:
Emerging trends in data visualization.
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Workshop 15.2:
Utilizing AI and automation in visualizations.
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Workshop 15.3:
Implementing immersive and interactive visualizations.
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Workshop 15.4:
Best practices for future visualizations.
