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Course Outline
1. Introduction to Advanced Spotfire Analyst
- Course objectives and agenda
- Review of Spotfire architecture
- Spotfire Analyst vs. Spotfire Web Client
- Best practices for advanced data analysis
2. Spotfire Server and Environment Overview
- Components of the Spotfire platform
- Connecting to Spotfire Server
- Authentication and user roles
- Managing preferences and user settings
3. Navigating the Spotfire Web Client
- Working with the Web Player
- Opening and sharing analyses
- Using bookmarks and filters
- Managing personal and shared content
4. Managing Libraries and Information Assets
- Library structure and organization
- Publishing analyses to the library
- Version control and content management
- Managing permissions and access rights
5. Collaboration and Secure Content Sharing
- Sharing analyses with teams
- Configuring user roles and access controls
- Managing collaborative workflows
- Best practices for secure data sharing
6. Creating Information Links and Accessing Enterprise Data
- Information Designer concepts
- Creating Information Links
- Connecting to relational databases
- Working with multiple data sources
- Optimizing data retrieval performance
7. Advanced Data Preparation
- Transforming and cleaning data
- Data wrangling techniques
- Managing calculated columns
- Pivoting and unpivoting datasets
- Combining and joining multiple data tables
8. Advanced Visualizations
- Creating advanced charts and dashboards
- Map charts and geographic analysis
- Scatter plots, box plots, and heat maps
- Hierarchical visualizations
- Interactive filtering and drill-down analysis
- Visualization design best practices
9. Advanced Analysis Using Expressions
- Calculated values and custom expressions
- OVER functions
- Nested expressions
- Custom calculations
- Dynamic measures
- Performance optimization for expressions
10. Creating Interactive Dashboards
- Property Controls
- Input controls and parameters
- Dynamic filtering
- Document properties
- User-driven dashboard interactions
11. Integrating Statistical Engines
- Introduction to data functions
- Integrating R with Spotfire
- Executing R scripts
- Using TERR for statistical analysis
- Automating statistical workflows
12. Data Relationships and Predictive Analytics
- Understanding relationships between datasets
- Correlation and regression analysis
- Predictive modeling concepts
- Building predictive workflows
- Evaluating model performance
13. Multivariate Data Analysis
- Exploring multidimensional datasets
- Clustering techniques
- Principal Component Analysis (PCA)
- Pattern identification
- Outlier detection
14. Performance Optimization and Troubleshooting
- Improving dashboard performance
- Optimizing data loading
- Managing large datasets
- Troubleshooting common Spotfire issues
- Best practices for maintaining analyses
15. Best Practices and Real-World Applications
- Dashboard design guidelines
- Common implementation scenarios
- Governance and security recommendations
- Case studies and practical examples
16. Summary and Hands-on Workshop
- Review of key concepts
- End-to-end practical exercise
- Questions and answers
- Additional learning resources and next steps
Requirements
- Previous experience with Spotfire.
Audience
- Business analysts
14 Hours
Testimonials (2)
Professional and very practical, usuefull in a daily work
Jozefin Rekasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
I liked Pablo's style, the fact that he covered a lot of subjects from report design , customization with html to implementing simple ML algortithms. Good balance theoretical information / exercices. Pablo really covered all topics i was interested in and gave comprehensive answers to my questions.
