Oracle Database 11g: Data Mining Techniques


Oracle Database 11g: Data Mining Techniques Certification Training Course Overview

The Oracle Database 11g: Data Mining Techniques training and certification course will give you a detailed overview on the basic concepts of data mining and leveraging the predictive analytical power of the Oracle Database Data Mining option by using Oracle Data Miner 11g Release 2. During training, you will study 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.

Who should do Oracle Database 11g: Data Mining Techniques training?

  • Application Developers
  • Business Analysts
  • Data Warehouse Analyst
  • Database Administrators

Oracle exam can be taken from home.

Oracle Database 11g: Data Mining Techniques Course schedule & Prices

Course Details Schedule
Live Virtual Classroom (Instructor-Led)
Duration : 2 Days (4 Days for 4 Hours/Day)
Fee : On Request



July
8 Hours/Day
20-21
20-23
August
8 Hours/Day
03-04
09-10
10-11
17-18
03-06
09-12
10-13
17-20
September
8 Hours/Day
07-08
13-14
14-15
21-22
07-10
13-16
14-17
21-24
October
8 Hours/Day
05-06
11-12
12-13
05-08
11-14
12-15
Fly-Me-a-Trainer
Duration :
Client's Location
As per mutual convenience
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request

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Course Prerequisites

  • Fundamental knowledge of SQL language and Oracle DB


On completion of this course, you will know:

  • 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
  • Learn how to deploy data mining results for real-time access by end-users