Course Outline

Day 1

  1. Intoruduction
  2. Overview
  3. Adding Data Table (Flat-file, database) - different options
  4. Working with Information Links (optional, needed access to Spotfire Server and some test database)
  5. Data Wrangling
  6. Filtering, Marking, Table Relationship
  7. Visualization types (Table, Cross Table, Pie Chart, Bar Chart, Line Chart, Combination Chart, Waterflow Chart...)

Day 2

  1. Geo Visualizations - optional, if requested
  2. Calculated Columns
  3. Property Controls, Text Area
  4. Report Custom Styling (Corporate design)
  5. Spotfire Library Concepts, Report sharing and access concepts
  6. Web Player, Scheduled Updates
  7. Wrap up

Requirements

  • Experience with business intelligence and data visualization.

Audience

  • Business analysts
  • Data analysts
 14 Hours

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Testimonials (4)

It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.

Cristian Tudose - SC Automobile Dacia SA
Course - Introduction to Spotfire

Good teaching skils, good knowledge of the subjekts

Sorin Staicu - Groupe Renault
Course - Introduction to Spotfire

Interactive exercises. The adaptation in the second day based on our feedback.

Irinel COZMA - SC AUTOMOBILE DACIA SA
Course - Introduction to Spotfire

Actual application of spotfire and all basic functions.

Michael Capili - STMicroelectronics, Inc.
Course - Introduction to Spotfire

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