Predictive Analytics using Oracle Data Mining Ed 1 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 Oracle Data Mining, a component of the Oracle Advanced Analytics option.

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What is Predictive Analytics using Oracle Data Mining Ed 1 Certification Training about?

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.

When you've completed this course, you'll be able to use the Oracle Data Miner 4.1, the Oracle Data Mining workflow GUI, which enables data analysts to work directly with data inside the database. The Data Miner GUI provides intuitive tools that help you 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 Predictive Analytics using Oracle Data Mining Ed 1 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, 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 is Predictive Analytics using Oracle Data Mining Ed 1 Certification Training for?

Database Administrators
Data Scientist
Data Analyst

What are the prerequisites for Predictive Analytics using Oracle Data Mining Ed 1 Certification Training?

No prerequisites required

Available Training Modes

Live Online Training

16 Hours

Classroom Training

2 Days

Course Outline Expand All

Expand All

Introduction

Review location of additional resources

Course Objectives

Practice and Solutions Structure

Suggested Course Prerequisites

Class Sample Schemas

Suggested Course Schedule

Predictive Analytics and Data Mining Concepts

Introducing the Oracle Advanced Analytics (OAA) Option?

Why use Data Mining?

Supervised Versus Unsupervised Learning

Supported Data Mining Algorithms and Uses

What is Data Mining?

What is the Predictive Analytics?

Examples of Data Mining Applications

Understanding the Data Mining Process

Common Tasks in the Data Mining Process

Introducing the SQL Developer interface

Introducing Oracle Data Miner 4.1

Previewing Data Miner Workflows

Examining Data Miner Nodes

Setting up Oracle Data Miner

Data mining with Oracle Database

Identifying Data Miner interface components

Accessing the Data Miner GUI

Using Classification Models

Building the Models

Using the Data Source Wizard

Examining Class Build Tabs

Adding a Data Source to the Workflow

Creating Classification Models

Reviewing Classification Models

Using the Column Filter Node

Using Explore and Graph Nodes

Using Regression Models

Using the Data Source Wizard

Selecting a Model

Building the Models

Comparing the Models

Creating Regression Models

Reviewing Regression Models

Performing Data Transformations

Adding a Data Source to the Workflow

Using Clustering Models

Adding Data Sources to the Workflow

Comparing Model Results

Exploring Data for Patterns

Describing Algorithms used for Clustering Models

Defining and Building Clustering Models

Defining Output Format

Selecting and Applying a Model

Examining Cluster Results

Performing Market Basket Analysis

Adding a Data Source to the Workflow

Creating a New Workflow

What is Market Basket Analysis?

Reviewing Association Rules

Building the Model

Defining Association Rules

Creating an Association Rules Model

Examining Test Results

Performing Anomaly Detection

Applying the Model

Adding Data Sources to the Workflow

Evaluating Results

Building the Model

Examining Test Results

Reviewing the Model and Algorithm used for Anomaly Detection

Creating the Model

Mining Structured and Unstructured Data

Enabling mining of Text

Joining and Filtering data

Examining Predictive Results

Handling Aggregated (Nested) Data

Dealing with Transactional Data

Using Predictive Queries

Examining Predictive Results

Creating Predictive Queries

What are Predictive Queries?

Deploying Predictive models

Examining Deployment Options

Requirements for deployment

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.

Predictive Analytics using Oracle Data Mining Ed 1 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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