The TIBCO Spotfire Analyst - Essentials training course explores fundamentals of descriptive analytics and explains how to build useful, interactive visualizations using the TIBCO Spotfire. It examines the key components of good analytics solutions and provides general guidelines for when to use specific visualization types. After covering the data access, import and storage options, it explains how to build simple visualizations using well known chart types such as bar charts, line charts, pie charts and scatter plots. Attendees configure advanced visualization properties and design complex interactive features, including drill-down visualizations. Dynamic visualizations are explained along with data filtering and marking. Data export Microsoft Excel, Microsoft PowerPoint, PDF, or web-compatible file types is also covered.
The TIBCO Spotfire Analyst - Advanced training course teaches the essential concepts required to effectively utilize the TIBCO Spotfire Analyst client. Learn how to add data to an existing data table or add new data tables to a existing Spotfire analysis. Differentiate between in-memory data and in-database data. Form connections to cube and relational database data sources. Manipulate existing data columns and learn about the remaining visualization types not covered in essentials course. Explore the various aggregations options and consider tools for capturing specific aspects of a dynamic analysis.
By attending TIBCO Spotfire Analyst - Essentials workshop, delegates will learn to:
- Recognize key analytics components: data, visualizations and interactions
- Examine the Visual Analytics Environment
- Discuss functions of Spotfire Server
- Explain data import options and formats
- Build interactive visualizations for analytics
- Details visualizations and interactivity
- Export data to different formats
By attending TIBCO Spotfire Analyst - Advanced workshop, delegates will learn to:
- Use expressions and calculated functions
- Configure custom hierarchies and hierarchy filters
- Build visualizations from multiple data tables
- Design interactive visualizations for analytics
- Connect to cube databases and relational databases
- Work with in-memory data tables
- Add bookmarks and tags
- Work with treemaps, box plots and map charts
