Online TIBCO Spotfire Training in the US

In this instructor-led, live training in the US, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

This instructor-led, live training in the US (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

• Share visualizations among different team members.
• Secure access to software based on roles and access controls.
• Create visualizations such as map charts.
• Integrate statistical computing languages such as R with Spotfire.

This instructor-led, live training in the US (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

• Install and configure TIBCO Spotfire.
• Combine data from different databases.
• Visualize large datasets.
• Create and share complex dashboards.

This instructor-led, live training in the US (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

By the end of this training, participants will be able to:

• Install and configure TIBCO Spotfire X.
• Understand the features and architecture of TIBCO Spotfire X.
• Understand the concepts behind augmented and predictive analytics.
• Learn how to load, process, and visualize data using Spotfire X.
• Create interactive and enhanced data visualizations.