DASVM TIBCO Spotfire training provides essential knowledge on TIBCO Spotfire functionality and advanced features. It also provides valuable insights into integration and management of data with different data sources, build visualizations, dashboards, etc., through our hands-on training sessions, and this will help you to become a certified TIBCO Spotfire developer.
Learning Objectives:
This training helps you gain expertise in the following areas:
- Spotfire tools, processes, and features
- Data Visualization using in-built dashboards and techniques
- Modifying Visualization using Spotfire Server
- Data organization, data analysis and creating various filters and charts
- Using Spotfire Server and application of visualization controls
- Create Tables from files and database using Data warehousing
- Create Charts and Filters
- Data Organizing and Analyzing
- Ironpython Scripting
- Creating Platforms, frameworks, and data forms using IronPython
Course content
Spotfire Basic Skills
- Understanding Visualization of Spotfire
- Performing Data Filtering
- Learning More through Data Drill-Down
The Underlying Data
- Expected Format of a Data Table
- Loading Data using an Information Link
- Opening New Data
Adding data from different data sources into Spotfire
Pages Getting Started with Visualizations in Spotfire
- Properties of Table
- Properties of Bar Charts
- Interpreting Bar Charts
- Properties of Line Charts
- Interpreting Line Charts
- More Visualizations
General Visualizations Features
- Adjusting Properties
- Underlying Data
- Coloring
- Trellis visualizations
Filters in Spotfire
- Filter Type
- Changing Filter Types
- Filtering Display Options
- Organizing Filters
- Defining Filtering Schemes
Drill-Down
- Highlighting Items
- Details Visualizations
- Multiple Markings
Saving and Exporting
- Saving a Spotfire File
- Exporting Data from Spotfire
- Exporting Visualizations from Spotfire
More Visualization Types
- Combination Charts
- Combination Chart Introduction
- Combination Chart Properties
- Using Combination Charts
Scatter Plots
- Scatter Plot Introduction
- Scatter Plot Properties
- Using Scatter Plots
3D Scatter Plots
- 3D Scatter Plot introduction
- 3D Scatter Plot Properties
- Using 3D Scatter Plots
Pie Charts
- Pie Chart introduction
- Pie Chart Properties
- Using Pie Chart
Summary Tables
- Summary Table introduction
- Summary Table Properties
- Using Summary Tables
Cross Tables
- Cross Table Introduction
- Cross Table Properties
- Using Cross Tables
Graphical Tables
- Graphical Table Introduction
- Graphical Table Properties
- Using Graphical Tables
Map Charts
- Map Chart introduction
- Map Chart Properties
- Using Map Charts
Parallel Coordinate Plots
- Parallel Coordinate Plot introduction
- Parallel Coordinate Plot Properties
- Using Parallel Coordinate Plots
Tree Maps
- Treemap Introduction
- Treemap Properties
- Using Treemaps
Box Plots
- Box Plot Introduction
- Box Plot Properties
- Using Box Plots
Heat Maps
- Heat Map Introduction
- Heat Map Properties
- Using Heat Maps
Coloring
- Color Modes
- Color Break Points
- Coloring Rules
- Coloring in Tables Cross Tables and Heat Maps
- More Coloring Features
Adding Data to an Existing Analysis
- Adding New Rows to a Data Table
- Adding New Columns to a Data Table
- Adding New Data Tables
Transformations
- Pivot, Unpivot
- Calculate and Replace Column
- Calculate New Column
- Change Column Names
- Change Data Types
- Exclude Column
- Normalization
Formatting Numbers
- Short Number Format
Handling Multiple Data Tables
- Selecting a Data Table
- Filters Panel with Multiple Data Tables
- Relating across Visualizations
- Filtering Options
Bundling Data
- Data Binning
- Auto-binning
- Binned Column
Using Tags
Using Lists
Capturing your Analysis
- Bookmarks
- Adding and Applying Bookmarks
- Sharing Bookmarks
Deriving More Information from Raw Data
- Calculated Columns
- Custom Expressions
- Similarity between Custom Expressions and Aggregation Methods
- The Slicing Concept
- Marker
- Applications of Custom Expressions
- Basic Syntax Rules
OVER Expressions
- OVER in Calculated Columns
- OVER in Custom Expressions
- Terms to use in OVER Expressions
Limiting Data in Visualizations
- Limiting Data Using Markings
- Limiting Data Using Filtering
- Limiting Data Using Expression
Lines & Curves
- Horizontal and Vertical Line
- Curve Draw
- Curve from Data Table
- Line from Column Value
- Lines & Curves Example
Hierarchical Clustering
Data Relationships
K-Means Clustering
Line Similarity
Regression Modelling
Classification Modelling
Opening Data using an information Link
General Workflow for Using Information Designer
- Creating Advanced Elements
- Aggregated and Drillable Columns
Loading Data on Demand
Sharing Analyses
- Distribution of Analyses
- Data Access Options
- Pages
- Cover Page
- Page Modes
Filters and Filtering Schemes
- Filter Organization
- Filtering Schemes
- Filters in Text Areas
Markings
- Details on-Demand
- Drill-down
- Different Markings
- Columns from Marked
Text Areas
- Editing the Text Area
- Creating Links to Website
- Adding Filter Controls
- Adding Action Controls
- Adding Property Controls
- Adding Dynamic Items
Dashboards
- Using the Collaboration Panel
- Using a Spotfire File as a Template
- Using Information Links as Template
Publishing Analyses to Tibco Spotfire Web Player
- Saving to the Library
- Web Player User Interface
Export features
- Export Data/Visualizations to various formats
Information Designer
- lnformation Link
- Setting up data source
lnformation Links
- Creating an lnformation Link
- Adding Elements to the lnformation Link
- Specifying Join Path
- Specifying Description
- Adding Filters and Prompts
- Specifying Conditioning
- Showing Parameters
- Specifying Properties
- Saving the lnformation Link
- Viewing and Editing SQL Paths
Library Administration
- Detailed explanation
- Managing Imports and Exports
- Managing Access to folders
- Analysis
Administration Manager
- Detailed explanation
- Creating Users
- Licenses
- Preferences
- Managing Groups
To see the full course content Download now
Course Prerequisites
- There are no specific prerequisites for learning TIBCO Spotfire. Having basic SQL programming knowledge is an added advantage.
Who can attend
This training is best fit for:
- Business Intelligence Professionals
- Software and Mainframe Professionals
- SQL and ETL Developers, Data Analytics and Database Architects
- Project Managers
- Freshers interested in BI career
Number of Hours: 40hrs
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