Blue Light 5-Day IBM® i2® Analyst's Notebook Premium

5-Day IBM® i2® Analyst’s Notebook Premium Course





Course Description

This five-day course is specifically designed for a complete and full understanding of IBM® i2® Analyst’s Notebook (ANB) features. The course teaches students to master the programs analytical capabilities to include geospatial, social network, and statistical analysis.

This curriculum is designed to focus on the ANB program functionality regardless of data type analyzed.

Course Objectives

After completing this course, students will understand the following:

  • Methodology for creating Manual charts
  • Merge multiple charts to uncover relationships and associations
  • Create Association, Timeline and Commodity Flow Charts through importing
  • Modify import specifications for variations in multiplicity and event analysis
  • Data formatting and datasets creation
  • Customizing Attributes through the import process
  • Understand the matching and merging of data through multiple datasets
  • Analyst's Notebooks ability to analyze Time zones to create a sequence of events
  • Accurate analysis utilizing Social Network Analysis, Filters, and Histograms, Map Chart Items, Conditional Formatting, and Activity View tools
  • Integrating geospatial functionally provided by mapping software
  • Create template charts to manage formatting requirements when data is imported
  • Preparing charts for presentation and dissemination ie: PowerPoint, Excel, jpeg, and PDF
  • IBM® i2® Analyst's Notebook latest Version

40 CPE Credits

Blue Light is the only IBM® i2® training partner awarding students CPE Credits upon successful completion of our Training Programs.

Course Highlights


Latest Version

Our courses are always taught on the latest version of IBM® i2®.

Data Analysis

Understand, import and analyze structured, data into the platform.

Analytical Tools

Learn and apply specific analytical techniques and tools.

Complete Overview

The course offers a comprehensive overview of the platform.

Hands-on Training

Throughout the course, students will work on realistic training data.


Understand the chart elements, build examples, and compile for presentation.

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