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2. Introduction to Tibco Spotfire
TIBCO Spotfire is an analytics and business intelligence platform allows
customers to perform in-depth analysis on data using statistics. It is an
enterprise class analytic and data-discovery platform. It's a client
application which focus on the creation of data visualization and
includes high performance, scalability and security. Spotfire analyst
perform compelling adhoc analysis and R scripting.
3. Course Curriculum
Unit 1: Spotfire Basic Skills
Topics- Understanding Visualization of spotfire, Performing Data
Filtering, Learning More through Data Drill-Dow.
Unit 2: The Underlying Data
Topics- Expected Format of a Data Table, Loading Data using an
Information Link, Opening New Data.
Unit 3: Pages Getting Started with Visualizations in spotfire
Topics- Properties of Table, Properties of Bar Charts, Interpreting Bar
Charts, Properties of Line Charts, Interpreting Line Charts, More
4. Unit 4: General Visualizations Features
Topics- Adjusting Properties, Underlying Data, Coloring, Trellis
Unit 5: Filters in spotfire
Topics- Filter Type, Changing Filter Types, Filtering Display Options,
Organizing Filters, Defining Filtering Schemes.
Unit 6: Drill-Down
Topics- Highlighting Items, Details Visualizations, Multiple Markings.
Unit 7: Saving and Exporting
Topics- Saving a Spotfire File, Exporting Data from Spotfire, Exporting
Visualizations from Spotfire.
Unit 8: More Visualization Types
Topics- Combination Charts, Combination Chart Introduction,
Combination Chart Properties, Using Combination Charts.
Unit 9: Scatter Plots
Topics- Scatter Plot Introduction, Scatter Plot Properties, Using Scatter
5. Unit 10: 3D Scatter Plots
Topics- 3D Scatter Plot introduction, 3D Scatter Plot Properties, Using
3D Scatter Plots.
Unit 11: Pie Charts
Topics- Pie Chart introduction, Pie Chart Properties, Using Pie Chart.
Unit 12: Summary Tables
Topics- Summary Table introduction, Summary Table Property, Using
Unit 13: Cross Tables
Topics- Cross Table Introduction, Cross Table Properties, Using Cross
Unit 14: Graphical Tables
Topics- Graphical Table Introduction, Graphical Table Properties, Using
6. Unit 15: Map Charts
Topics- Map Chart introduction, Map Chart Properties, Using Map
Unit 16: Parallel Coordinate Plots
Topics- Parallel Coordinate Plot introduction, Parallel Coordinate Plot
Properties, Using Parallel Coordinate Plots.
Unit 17: Treemaps
Topics- Treemap Introduction, Treemap Properties, Using Treemaps.
Unit 18: Box Plots
Topics- Box Plot Introduction, Box Plot Properties, Using Box Plots.
Unit 19: Heat Maps
Topics- Heat Map Introduction, Heat Map Properties, Using Heat
Unit 20: Text Areas
Topics- Colouring, Colour Modes, Colour Break Points, Colouring
Rules, Colouring in Tables Cross Tables and Heat Maps, More
7. Unit 21: Adding Data to an Existing Analysis
Topics- Adding New Rows to a Data Table, Adding New Columns to a
Data Table, Adding New Data Tables.
Unit 22: Transformations
Topics- Pivot, Unpivot, Calculate and Replace Column, Calculate New
Column, Change Column Names, Change Data Types, Exclude
Unit 23: Formatting Numbers
Topics- Short Number Format.
Unit 24: Handling Multiple Data Tables
Topics- Selecting a Data Table, Filters Panel with Multiple Data Tables,
Relating across Visualizations, Filtering Options.
Unit 25: Bundling Data
Topics- Data Binning, Auto-binning, Binned Column.
Unit 26: Using Tags
Topics- Using Lists.
8. Unit 27: Capturing your Analysis
Topics- Bookmarks, Adding and Applying Bookmarks, Sharing
Unit 28: Deriving More Information from Raw Data
Topics- Calculated Columns, Custom Expressions, Similarity between
Custom Expressions and Aggregation Methods, The Slicing Concept,
Marker, Applications of Custom Expressions, Basic Syntax Rules.
Unit 29: OVER Expressions
Topics- OVER in Calculated Columns, OVER in Custom Expressions,
Terms to use in OVER Expressions.
Unit 30: Node Navigation Methods
Topics- All(), Previous(), Next(), AIIPrevious(), Allnext(), Parent(),
Intersect(), Previousperiod(), Nextperiod().
Unit 31: Node Navigation Examples
Topics- Syntax Rules, Previous() Example, AIIPrevious() Example,
Intersect() Example, Previousperiod() Example, Nextperiod() Example,
Lastperiod() Example, ParallelPeriod() Example.
9. Unit 32: Using Functions in Expressions
Topics- If(), Case(), DateTimeNow(), Concatenate(), Rank() and
DenseRank(), Max() and Min(), AS Statement, NEST and CROSS
Statements, Multiple OVER Statement.
Unit 33: Limiting Data in Visualizations
Topics- Limiting Data Using Markings, Limiting Data Using Filterings,
Limiting Data Using Expression.
Unit 34: Error Bars
Topics- Lines & Curves, Horizontal and Vertical Line, Curve Draw, Curve
from Data Table, Line from Column Value, Lines & Curves Example,
Unit 35: lnformation Links
Topics- Creating an lnformation Link, Adding Elements to the lnformation
Link, Specifying Join Path, Specifylng Description, Adding Filters and
Prompts, Specifying Conditioning, Showing Parameters, Speclfylng
Properties, Saving the lnformation Link, Viewing and Editing SQL Paths.
10. Unit 36: Opening Data using an lnformation Link
Unit 37: General Workflow for Using lnformation Designer
Topics- Creating Advanced Elements, Aggregated and Drillable
Columns, Loading Data on Demand.
Unit 38: Sharing Analyses
Topics- Distribution of Analyses, Data Access Options.
Unit 39: Pages
Topics- Cover Page, Page Modes.
Unit 40: Filters and Filtering Schemes
Topics- Filter Organization, Filtering Schemes, Filters in Text Areas.
Unit 41: Markings
Topics- Details on-Demand, Drill-down, Different Markings, Columns
11. Unit 42: Text Areas
Topics- Editing the Text Area, Creating Links to Website, Adding Filter
Controls, Adding Action Controls, Adding Property Controls, Adding
Unit 43: Authoring Tips
Topics- Naming, Hiding Unnecessary Information.
Unit 44: Dashboards
Topics- Using the Collaboration Panel, Using a Spotfire File as a
Template, Using Information Links as Template.
Unit 45: Publishing Analyses to TlBCO Spotfire Web Player
Topics- Saving to the Library, Web Player User Interface
12. Our Microsoft BI Online Training
batches starts every day.
You can attend a DEMO for free
13. We Provide Online Training On
Data Modeling- Erwin
14. We offers You
1. Interactive Learning at Learners convenience
2. Industry Savvy Trainers
3.“Real Time" Practical scenarios
4. Learn Right from Your Place
5. Customized Course Curriculum
6. 24/7 Server Access
7. Support after Training and Certification Guidance
8. Resume Preparation and Interview assistance
9. Recorded version of sessions
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