AI-Driven Data Analysis with TIBCO Spotfire X Training...

AI-Driven Data Analysis with TIBCO Spotfire X Training Course

319 Phaya Thai Road, Pathum Wan, Pathum Wan District, Bangkok, Thailand

Description

TIBCO Spotfire X is a business intelligence and augmented analytics tool that combines natural language, artificial intelligence (AI), and streaming data technologies.

This instructor-led, live training (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.

Format of the Course

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

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Details :

Course Code : spotfirex
Duration :14 hours (usually 2 days including breaks)
Requirements
– Experience with business intelligence and data analysis
Audience
– Business analysts
– Data analysts
Fees : 63214 THB(Price per participant)
Venue : Regus, Bangkok

Course Outline

Introduction

  • What’s new in TIBCO Spotfire X?
  • Overview of TIBCO Spotfire X features and architecture
  • Understanding augmented and predictive analytics

Getting Started

  • Installing TIBCO Spotfire X
  • Upgrading Spotfire
  • Navigating the UI

Loading Data

  • Connecting to a database
  • Configuring an on-demand data source
  • Importing data from a file
  • Transforming data

Processing Data

  • Working with large data sets
  • Connecting to streaming data
  • Handling data in analysis flyout
  • Managing data in data canvas
  • Manipulating data tables
  • Working with multiple data tables

Visualizing Data

  • Types of charts, tables, maps, and other visualizations
  • Interacting with visualized data
  • Enhancing visualizations
  • Collaborating using conversations, annotations, etc.
  • Using tags, filters, lists, and other tools

Troubleshooting

Summary and Next Steps

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Course Schedule

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