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Duration 14 hours
Course Outline
1. Introduction to Advanced Spotfire Analyst
- Course goals and agenda overview
- Review of Spotfire architectural components
- Comparison of Spotfire Analyst and the Spotfire Web Client
- Best practices for conducting advanced data analysis
2. Overview of Spotfire Server and Environment
- Key components of the Spotfire platform
- Establishing connections to the Spotfire Server
- Authentication methods and user roles
- Configuration of preferences and user settings
3. Navigating the Spotfire Web Client
- Utilizing the Web Player interface
- Opening and distributing analyses
- Application of bookmarks and filters
- Management of both personal and shared content
4. Managing Libraries and Information Assets
- Structuring and organizing the library
- Publishing analyses to the central library
- Version control and content governance
- Administration of permissions and access rights
5. Collaboration and Secure Content Sharing
- Distributing analyses to team members
- Setting up user roles and access restrictions
- Overseeing collaborative workflows
- Recommended practices for secure data sharing
6. Creating Information Links and Accessing Enterprise Data
- Foundational concepts of Information Designer
- Construction of Information Links
- Integration with relational databases
- Handling multiple data sources
- Optimizing the performance of data retrieval
7. Advanced Data Preparation
- Data transformation and cleansing procedures
- Techniques for data wrangling
- Management of calculated columns
- Pivoting and unpivoting datasets
- Merging and joining multiple data tables
8. Advanced Visualizations
- Development of complex charts and dashboards
- Map charts and geographic analysis
- Implementation of scatter plots, box plots, and heat maps
- Hierarchical visual representation
- Interactive filtering and drill-down analysis
- Best practices in visualization design
9. Advanced Analysis Using Expressions
- Calculated values and custom expression writing
- Application of OVER functions
- Nested expression structures
- Custom calculation logic
- Creation of dynamic measures
- Optimizing expression performance
10. Building Interactive Dashboards
- Implementation of Property Controls
- Configuration of input controls and parameters
- Dynamic filtering mechanisms
- Management of document properties
- Enabling user-driven dashboard interactions
11. Integrating Statistical Engines
- Introduction to data functions
- Integration of R with Spotfire
- Execution of R scripts
- Utilization of TERR for statistical tasks
- Automation of statistical workflows
12. Data Relationships and Predictive Analytics
- Understanding inter-dataset relationships
- Correlation and regression analysis
- Concepts in predictive modeling
- Construction of predictive workflows
- Evaluation of model performance
13. Multivariate Data Analysis
- Exploration of multidimensional datasets
- Application of clustering techniques
- Principal Component Analysis (PCA)
- Identification of patterns
- Detection of outliers
14. Performance Optimization and Troubleshooting
- Enhancing dashboard performance
- Optimization of data loading processes
- Management of large-scale datasets
- Resolution of common Spotfire issues
- Best practices for analysis maintenance
15. Best Practices and Real-World Applications
- Guidelines for dashboard design
- Common implementation scenarios
- Recommendations for governance and security
- Case studies and practical examples
16. Summary and Hands-on Workshop
- Review of core concepts
- Comprehensive end-to-end practical exercise
- Q&A session
- Additional learning resources and next steps
Requirements
- Prior familiarity with Spotfire is required.
Intended Audience
- Business analysts
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.
