FA-0417Data & Analytics

Spotfire Data Visualization & Analytics Mastery

Turn data into insights with interactive visualizations and analytics

Introduction

Why this course

This course equips you with practical skills in TIBCO Spotfire, a leading visual analytics platform used globally to explore, visualize, and understand complex data without heavy coding. Learners will develop the ability to import and transform data, craft compelling visual stories, and implement analytics workflows that support real business decisions.

Through guided hands-on exercises and expert coaching, you’ll learn how to leverage Spotfire’s interactive dashboards, advanced visualizations, and analytical tools to reveal patterns, trends and insights that drive results. Rather than a purely academic approach, the curriculum is grounded in real industry scenarios, drawing on three decades of professional analytics experience to ensure you’re learning techniques employers value most.

Learning outcomes

By the end of this course, you will be able to:

Navigate the Spotfire interface and workflows with confidence.
Import and prepare data from diverse sources for analysis.
Build a wide range of visualizations including charts, maps, and interactive dashboards.
Apply filters, markings, and expressions to explore and interpret data.
Use advanced analytics features like calculated columns and session customizations.
Present insights through shareable dashboards and reports.
Complete a capstone project that demonstrates your Spotfire proficiency.

Prerequisites

Learners should have:

Basic understanding of data concepts (e.g., spreadsheets, tables).
Familiarity with charts or visual representations of data.
No previous Spotfire experience required.
Optional but helpful: introductory SQL or analytics knowledge.

Training outline

9 modules

01Spotfire Fundamentals3 topics

Spotfire overview and platform capabilities
1. What Spotfire is and where it’s used
2. Core components and versions (Analyst, Business Author, Web)
User interface navigation
1. Ribbon, visualizations panel, data panel
2. Customizing work areas
Starting an analysis
1. Connecting to data sources (Excel, CSV, databases)
2. Importing tables
3. Data table properties

02Data Preparation & Wrangling4 topics

Data cleansing and transformations
1. Handling missing values
2. Renaming and formatting columns
Inline data wrangling features
Joining and relating data tables
Managing data relationships and schemas

03Core Visualizations4 topics

Basic chart types
1. Bar, line, pie, tables
Customizing graphics
1. Colors, labels, axes
Interactive controls
1. Filters, markings, highlighting
Best practices for visual clarity

04 Advanced Visual Analytics3 topics

Complex visual types
1. Heat maps, tree maps, scatter plot matrices, parallel coordinates
Map visualizations and geospatial plotting
Using Spotfire visuals to uncover patterns

05 Expressions & Calculations3 topics

Calculated columns
Expressions to derive measures
Ranking, aggregations, conditional logic

06 Dashboarding & Interactivity3 topics

Laying out dashboards
1. Panels, tabs, text areas
Adding interactive filters and controls
Linking visualizations for coordinated interactions

07 Analytics Functions3 topics

Trending and time series visuals
Basic predictive features
1. Using built-in analytics recommendations
Introduction to data functions and IronPython (conceptual)

08 Sharing & Publishing Results3 topics

Exporting visualizations and dashboards
Sharing analyses with users and stakeholders
Collaboration considerations

09 Capstone Project6 topics

Participants will choose a real dataset (or provided business dataset) to:
Define an analytical objective
Import and model the data in Spotfire
Create a suite of visualizations that answer key questions
Build an interactive dashboard
Deliver a short presentation of findings

This project synthesizes all course modules and focuses on real analytical problem solving.

A programme built around your team.

Share your training goals and requirements.