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

Price
1,095 - 1,630 USD
16 Hours
O3201G
Classroom Training, Online Training
Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.x) - Code: O3201G
IBM Business Partner

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  • Learn on Demand
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,095 USD
  • Date: 13-Feb-2023 to 14-Feb-2023
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,630 USD
  • Date: 6-Mar-2023 to 7-Mar-2023
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,630 USD
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Course Description

Overview

This course is designed to teach students core concepts of IBM Watson Explorer Deep Analytics Edition oneWEX. Students will learn to identify the oneWEX platforms as well as the process flow and data flow of oneWEX projects. Students will explore oneWEX tools, such as Content Miner and the Admin Console, while gaining hands-on experience in data acquisition and enrichment. Finally, students will be exposed to more advanced topics, such as Application Builder, Content Analytics Studio, and API usage.

Objectives

Identify oneWEX platforms Identify the process and data flows of oneWEX projects Explore the oneWEX user interface Explain ingestion and conversion Utilize Content Miner Define enrichment Identify advanced features of oneWEX

Audience

This course is for analysts, developers, and administrators of IBM Watson Explorer Deep Analytics Edition oneWEX.

Prerequisites

    None

Topics

Overview of oneWEX
• Introduction to oneWEX
• Explore oneWEX architecture
• Identify installation optionsNavigation in oneWEX
• Explore the Admin Console
• Explore navigation using Content Miner
• The Collection detail view
• The REST APIData flow
• Explore the data flow of oneWEX
• Search and Analytics collection templatesIdentify data acquisition
• Data ingestion
• Work with datasets
• Work with crawlers
• Use an importer
• Explore conversion
• Data ingestion log filesAnalysis using oneWEX Content Miner
• Explore analysis using Content Miner
• The Guided Analysis Experience
• The Guided Analysis viewExplore Annotators
• Enrichment using Annotators
• Annotator typesEnrichment using Labeler
• Identify enrichment
• Identify document classification
• Classify using training data
• Classification versus clustering
• The document classification processEnrichment using Ranker
• Identify enrichment using Ranker
• The ranking processMigrate annotators from Content Analytics Studio
• Migrate Content Analytics Studio annotators
• Identify the UIMA pipeline configuration for oneWEX
• Update annotatorsUsing Application Builder with oneWEX
• Application Builder and user roles
• Explore Application Builder
• Set up a oneWEX data source
• Functionality for oneWEX data sources

Recognition

When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.

Learn more about our IBM Watson Badge Program →
Report Studio Foundation IBM Digital Badge

This course is eligible for the Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX (V12.0.x) - Code: O3201G

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Self-Paced Training Info

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  • Same in-demand topics as instructor-led public and private classes.
  • Standalone learning or supplemental reinforcement.
  • e-Learning content varies by course and technology.
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Self-Paced Training Terms & Conditions

THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 365 DAYS TO ACCESS THE COURSE.

This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.

Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.

After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.

Upon receipt of the Order Confirmation Letter which includes your Enrollment Key (Access code); the course begins its twelve (12) month access period. IMPORTANT!!! If your course provides access to a hands-on lab (Virtual Lab Environment), you will have a specific number of days (typically 30 days) on the remote lab platform to complete your hands-on labs. Do not start your lab until you are ready to use your lab time effectively. Time allotted in the virtual lab environment will be indicated once you apply the enrollment key. The self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.

If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system. Note: This does not add additional days to your Lab Environment time frame.

Click the Skytap Connectivity Test button to ensure this computer's hardware, software and internet connection works with the SPVC Lab Environment.

Click the Skytap Connectivity Documentation button to read about the hardware, software and internet connection requirements.

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