Tibco Spotfire Online Training

"Course Overview :

Spotfire Analytics responds faster than BI and more flexibly than spreadsheets, equipping everyone in enterprise — whether in business, technical, or scientific roles — to easily analyze complex data, customize their discovery experience, and share their story through portals or interactive dashboards. Spotfire Analytics delivers a unique combination of powerful analytics and an engaging visual experience that is both powerful and intuitive.

Empower those with the business knowledge to ask and answer their own questions - from anywhere. TIBCO Spotfire makes it easy to build and deploy reusable analytic applications over the web or perform pure ad-hoc analytics, driven on-the-fly by your own knowledge, intuition, and desire to answer the next question. Spotfire analytics does all this by letting you interactively query, visualize, aggregate, filter, and drill into datasets of virtually any size. Ultimately you will reach faster insights with Spotfire and bring clarity to business issues or opportunities in a way that gets all the decision-makers on the same page quickly.
Course Content:

Development

1. Spotfire Basic Skills
2. The Underlying Data
3. Adding data from different data sources into Spotfire
4. Pages Getting Started with Visualizations in Spotfire
5. General Visualizations Features
6. Filters in Spotfire
7. Drill-Down
8. Saving and Exporting
9. More Visualization Types
10. Scatter Plots
11. 3D Scatter Plots
12. Pie Charts
13. Summary Tables
14. Cross Tables
15. Graphical Tables
16. Map Charts
17. Parallel Coordinate Plots
18. Tree Maps
19. Box Plots
20. Heat Maps
21. Coloring
22. Adding Data to an Existing Analysis
23. Transformations
24. Formatting Numbers
25. Handling Multiple Data Tables
26. Bundling Data
27. Using Tags
28. Using Lists
29. Capturing your Analysis
30. Deriving More Information from Raw Data o Calculated Columns
31. OVER Expressions
32. Limiting Data in Visualizations
33. Lines & Curves
34. Hierarchical Clustering
35. Data Relationships
36. K-Means Clustering
37. Line Similiarity
38. Regression Modelling
39. Opening Data using an lnformation Link
40. General Workflow for Using lnformation Designer o Creating Advanced Elements
41. Loading Data on Demand
42. Sharing Analyses
43. Filters and Filtering Schemes
44. Markings
45. Text Areas
46. Dashboards
47. Publishing Analyses to TlBCOSpotfire Web Player o Saving to the Library
48. Export features

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