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Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.X) Course Overview

Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.X) Course Overview

The IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.x) course is a comprehensive training program designed to provide learners with an in-depth understanding of the capabilities, architecture, and functionalities of oneWEX. This course covers a variety of topics ranging from the basics of using Application Builder, navigating the Admin Console, understanding the data flow, data acquisition, and ingestion processes, to advanced features like data analysis with Content Miner, enrichment using Annotators, Labeler, and Ranker, as well as migration strategies for annotators from Content Analytics Studio.

Learners will gain practical knowledge on how to effectively manage and analyze unstructured data, create powerful data-driven applications, and leverage the advanced AI capabilities of IBM Watson for deep analytics. By the end of the course, participants will be equipped with the skills necessary to extract valuable insights from complex data sets and enhance their organization's data analysis and cognitive search strategies. The course is ideal for data analysts, developers, and IT professionals looking to harness the power of Watson Explorer in their workflows.

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Target Audience for Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.x)

This course provides comprehensive training on IBM Watson Explorer Deep Analytics Edition oneWEX, tailored for IT professionals involved in data analysis and search solutions.


  • Data Scientists
  • Data Analysts
  • Information Architects
  • Solution Architects
  • Software Developers
  • Application Builders
  • IT Managers
  • System Administrators
  • Database Administrators
  • Search Engineers
  • Content Management Professionals
  • AI and Machine Learning Engineers
  • Business Intelligence Professionals
  • Technical Support Specialists


Learning Objectives - What you will Learn in this Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.x)?

Introduction to Learning Outcomes and Concepts

The "Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.x)" course equips learners with the skills to harness oneWEX for advanced data analysis and cognitive exploration.

Learning Objectives and Outcomes

  • Understanding of oneWEX: Gain a comprehensive overview of IBM Watson Explorer Deep Analytics Edition oneWEX, including its architecture and application building capabilities.
  • Navigational Proficiency: Learn to navigate the oneWEX Admin Console and Content Miner effectively for data management and exploration.
  • Data Flow Comprehension: Understand the data flow within oneWEX from ingestion to search and analytics, ensuring efficient data processing.
  • Data Acquisition Techniques: Acquire skills in data ingestion, working with datasets and crawlers, using importers, and understanding data conversion processes.
  • Analysis with Content Miner: Learn to perform in-depth analysis using Content Miner and experience guided analysis views for better insights.
  • Use of Annotators: Understand how to enrich data using different types of annotators, enhancing the value and accuracy of the analysis.
  • Document Classification with Labeler: Master document classification techniques using Labeler, and comprehend the differences between classification and clustering.
  • Enrichment with Ranker: Learn how to use Ranker for enrichment to prioritize and rank data effectively, based on relevance.
  • Migration Skills: Acquire the ability to migrate annotators from Content Analytics Studio to oneWEX, including updating the UIMA pipeline configuration.
  • Application Builder Mastery: Develop the expertise to set up and manage oneWEX data sources using Application Builder, and understand user roles and functionalities within the tool.

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