Oracle Database 11g: Data Mining Techniques Training

Live Online & Classroom Enterprise Certification Training

In this course, students review the basic concepts of data mining and learn how leverage the predictive analytical power of the Oracle Database Data Mining option by using Oracle Data Miner 11g Release 2. The Data Miner GUI provides intuitive tools that help you to explore the data graphically, build and evaluate multiple data mining models, apply Oracle Data Mining models to new data, and deploy Oracle Data Mining's predictions and insights throughout the enterprise.

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What is 11g: Data Mining Techniques Certification Training about?

In this course, students review the basic concepts of data mining and learn how leverage the predictive analytical power of the Oracle Database Data Mining option by using Oracle Data Miner 11g Release 2. The Oracle Data Miner GUI is an extension to Oracle SQL Developer 3.0 that enables data analysts to work directly with data inside the database.

The Data Miner GUI provides intuitive tools that help you to explore the data graphically, build and evaluate multiple data mining models, apply Oracle Data Mining models to new data, and deploy Oracle Data Mining's predictions and insights throughout the enterprise. Oracle Data Miner's SQL APIs automatically mine Oracle data and deploy results in real-time. Because the data, models, and results remain in the Oracle Database, data movement is eliminated, security is maximized and information latency is minimized.

What are the objectives of 11g: Data Mining Techniques Certification Training ?

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, and apply multiple data mining models
Use Oracle Data Mining's predictions and insights to address many kinds of business problems, including: Predict individual behavior, Predict values, Find co-occurring events
Learn how to deploy data mining results for real-time access by end-users

Who is 11g: Data Mining Techniques Certification Training for?

Application Developers
Database Administrators
Business Analysts
Data Warehouse Analyst

What are the prerequisites for 11g: Data Mining Techniques Certification Training?

Suggested Prerequisite

A working knowledge of: The SQL language and Oracle Database design and administration

Available Training Modes

Live Online Training

16 Hours

Classroom Training

2 Days

Course Outline Expand All

Expand All

Introduction

Suggested Course Pre-requisites

Suggested Course Schedule

Review location of additional resources (including ODM and SQL Developer documentation and online resources)

Practice and Solutions Structure

Class Sample Schemas

Course Objectives

Overviewing Data Mining Concepts

Why use Data Mining?

Examples of Data Mining Applications

Supervised Versus Unsupervised Learning

Supported Data Mining Algorithms and Uses

What is Data Mining?

Understanding the Data Mining Process

Common Tasks in the Data Mining Process

Introducing Oracle Data Miner 11g Release 2

Data mining with Oracle Database

Introducing the SQL Developer interface

Previewing Data Miner Workflows

Examining Data Miner Nodes

Identifying Data Miner interface components

Setting up Oracle Data Miner

Accessing the Data Miner GUI

Using Classification Models

Adding a Data Source to the Workflow

Examining Class Build Tabs

Creating Classification Models

Comparing the Models

Building the Models

Reviewing Classification Models

Selecting and Examining a Model

Using the Data Source Wizard

Using Regression Models

Building the Models

Performing Data Transformations

Using the Data Source Wizard

Adding a Data Source to the Workflow

Selecting a Model

Reviewing Regression Models

Comparing the Models

Creating Regression Models

Performing Market Basket Analysis

Creating an Association Rules Model

Creating a New Workflow

Reviewing Association Rules

What is Market Basket Analysis?

Adding a Data Source to th Workflow

Building the Model

Defining Association Rules

Examining Test Results

Using Clustering Models

Comparing Model Results

Defining and Building Clustering Models

Adding Data Sources to the Workflow

Defining Output Format

Describing Algorithms used for Clustering Models

Examining Cluster Results

Selecting and Applying a Model

Exploring Data for Patterns

Performing Anomaly Detection

Building the Model

Creating the Model

Reviewing the Model and Algorithm used for Anomaly Detection

Adding Data Sources to the Workflow

Examining Test Results

Evaluating Results

Applying the Model

Deploying Data Mining Results

Requirements for deployment

Deployment Tasks

Examining Deployment Options

Who is the instructor for this training?

The Trainer is Oracle certified Instructor with extensive domain experience, including years of experience training & mentoring professionals in the industry.

11g: Data Mining Techniques Certification Training - Certification & Exam

SpringPeople is the Authorized Training Partner of Oracle.
The training fees is exclusive of exam cost.
For any queries; feel free to reach us at oracle@springpeople.com

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