Trending Courses

Vendors

Skip Navigation Links

Overview

This Predictive Analytics using Oracle Data Mining Ed 1 training will review the basic concepts of data mining. Expert Oracle University instructors will teach you how to leverage the predictive analytical power of Oracle Data Mining, a component of the Oracle Advanced Analytics option.

Learn To:

  • Explain basic data mining concepts and describe the benefits of predictive analysis.
  • Understand primary data mining tasks, and describe the key steps of a data mining process.
  • Use the Oracle Data Miner to build, evaluate, apply, and deploy multiple data mining models.
  • Use Oracle Data Mining’s predictions and insights to address many kinds of business problems.
  • Deploy data mining models for end-user access, in batch or real-time, and within applications.
img-course-overview.jpg

What You'll Learn

Upon completing this course, the learner will be able to meet these overall objectives:

  • Explain basic data mining concepts and describe the benefits of predictive analysis
  • Understand primary data mining tasks, and describe the key steps of a data mining process
  • Use the Oracle Data Miner to build, evaluate, apply, and deploy multiple data mining models
  • Use Oracle Data Mining’s predictions and insights to address many kinds of business problems
  • Deploy data mining models for batch or real-time access by end-users

Who Should Attend

  • Database Administrators
  • Data Scientist
  • Data Analyst
img-who-should-learn.png

Prerequisites

N/A

Learning Journey

Coming Soon...

Module 1: Introduction

  • Course Objectives
  • Suggested Course Prerequisites
  • Suggested Course Schedule
  • Class Sample Schemas
  • Practice and Solutions Structure
  • Review location of additional resources

Module 2: Predictive Analytics and Data Mining Concepts

  • What is the Predictive Analytics
  • Introducting the Oracle Advanced Analytics (OAA) Option
  • What is Data Mining
  • Why use Data Mining
  • Examples of Data Mining Applications
  • Supervised Versus Unsupervised Learning
  • Supported Data Mining Algorithms and Uses

Module 3: Understanding the Data Mining Process

  • Common Tasks in the Data Mining Process
  • Introducing the SQL Developer interface

Module 4: Introducing Oracle Data Miner 4.1

  • Data mining with Oracle Database
  • Setting up Oracle Data Miner
  • Accessing the Data Miner GUI
  • Identifying Data Miner interface components
  • Examining Data Miner Nodes
  • Previewing Data Miner Workflows

Module 5: Using Classification Models

  • Reviewing Classification Models
  • Adding a Data Source to the Workflow
  • Using the Data Source Wizard
  • Using Explore and Graph Nodes
  • Using the Column Filter Node
  • Creating Classification Models
  • Building the Models
  • Examining Class Build Tabs

Module 6: Using Regression Models

  • Reviewing Regression Models
  • Adding a Data Source to the Workflow
  • Using the Data Source Wizard
  • Performing Data Transformations
  • Creating Regression Models
  • Building the Models
  • Comparing the Models
  • Selecting a Model

Module 7: Using Clustering Models

  • Describing Algorithms used for Clustering Models
  • Adding Data Sources to the Workflow
  • Exploring Data for Patterns
  • Defining and Building Clustering Models
  • Comparing Model Results
  • Selecting and Applying a Model
  • Defining Output Format
  • Examining Cluster Results

Module 8: Performing Market Basket Analysis

  • What is Market Basket Analysis?
  • Reviewing Association Rules
  • Creating a New Workflow
  • Adding a Data Source to the Workflow
  • Creating an Association Rules Model
  • Defining Association Rules
  • Building the Model
  • Examining Test Results

Module 9: Performing Anomaly Detection

  • Reviewing the Model and Algorithm used for Anomaly Detection
  • Adding Data Sources to the Workflow
  • Creating the Model
  • Building the Model
  • Examining Test Results
  • Applying the Model
  • Evaluating Results

Module 10: Mining Structured and Unstructured Data

  • Dealing with Transactional Data
  • Handling Aggregated (Nested) Data
  • Joining and Filtering data
  • Enabling mining of Text
  • Examining Predictive Results

Module 11: Using Predictive Queries

  • What are Predictive Queries?
  • Creating Predictive Queries
  • Examining Predictive Results

Module 12: Deploying Predictive models

  • Requirements for deployment
  • Deployment Options
  • Examining Deployment Options

This course is not associated with any Certification.

Frequently Asked Questions (FAQs)

  • Why get Oracle certified?

    Oracle certifications are globally recognized credentials that validate your expertise in Oracle technologies and solutions.

    Whether your focus is on database administration, cloud infrastructure, Java development, or other Oracle products, these certifications demonstrate your skills and knowledge to employers, enhancing your career prospects and earning potential.

    Oracle-certified professionals are highly sought after in the IT industry for their ability to design, implement, and manage complex Oracle environments.

  • What to expect for the examination?

    Oracle certification exams assess your knowledge and skills in specific Oracle technologies and products.

    Exams typically consist of multiple-choice questions, and some may include performance-based questions or simulations that test your ability to apply your knowledge in real-world scenarios.

    Note: Certification requirements and policies may be updated by Oracle from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Oracle certification valid for?

    The validity period of Oracle certifications varies depending on the specific certification:

    Cloud Application Certifications: Valid for 18 months from the date of passing the exam. To maintain your credential, you must take the Delta version of the exam before the 18 months expire.

    Oracle Cloud Infrastructure (OCI) Certifications: OCI certification credentials are now valid for 2 years (previously 18 months), enabling users to learn and certify on multiple OCI technologies.

    Oracle Database Certifications: If you hold a retiring Oracle Database credential that requires recertification, you must upgrade to a current version within twelve (12) months following retirement to keep your credential in active status.

    Note: Certification requirements and policies may be updated by Oracle from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

Keep Exploring

Course Curriculum

Course Curriculum

Training Schedule

Training Schedule

Exam & Certification

Exam & Certification

FAQs

Frequently Asked Questions

img-improve-career.jpg

Improve yourself and your career by taking this course.

More Courses By Oracle

Browse All Courses
p10380-oracle-database-18c-administration-workshop-training
Oracle Database 18c

Oracle Database 18c: Administration Workshop

P10380 - Oracle Database 18c: Administration Workshop
ILT VILT
Course Duration 5 Days
d69518-java-performance-tuning-and-optimization-training
Java SE

Java Performance Tuning and Optimization

This training will teach you about performance tuning methodologies, performance tuning theories and practical tips to solve difficult performance problems for Java applications.
ILT VILT
Course Duration 3 Days
d79653-oracle-application-express-workshop-i-ed-2-training
Oracle Application Express (Oracle APEX)

Oracle Application Express Workshop I Ed 2

D79653 - Oracle Application Express Workshop I Ed 2
ILT VILT
Course Duration 5 Days
img-get-info.jpg

Ready to Take Your Business from Great to Awesome?

Level-up by partnering with Trainocate. Get in touch today.

Name
Email
Phone
I'm inquiring for

Inquiry Details

By providing your contact details, you agree to our Privacy Policy.

Stay Connected. Be the first to Know.

Company

Vendors

Services

Customer Service

© Copyright Trainocate 2024. All rights reserved.