Oracle Database 19c: Data Mining Techniques Course

In the Oracle Database 19c: Data Mining Techniques course, you will learn how to generate value from massive information using data mining capabilities from Oracle. The course starts with an Introduction to Data Mining, including terminology, basic concepts, and providing a high-level understanding of predictive and descriptive modeling. 

The learners are then introduced to data mining through a structured sequence, where each stage—from data preparation to evaluation—is explained in practical terms. At this point, the course emphasizes Oracle Data Miner, a powerful extension to the Oracle SQL Developer environment, and its potential for model building and evaluation. 

As the training progresses, learners examine a range of modeling techniques, including Classification, Regression, and Clustering, based on the modeling objective. Such models are essential for tasks like identifying significant patterns in enterprise data, forecasting business metrics, and segmenting large datasets for informed decision-making. More advanced techniques such as Anomaly Detection and Attribute Importance help uncover unusual data behavior and determine key influencing factors within structured datasets.

In the final module learners learn best practices that help ensure the data mining results are implemented and converted into business values. The course is running by SSDN Technologies, the Best Corporate Training Company, where Learner will enable to become business professionals, enabling them to transform data into strategic decisions and decisions through Oracle Database 19c.


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Learning Options for You

  • Live Training (Duration : 16 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic knowledge of SQL and Oracle Database
  • Familiarity with data analysis concepts
  • Understanding of machine learning fundamentals is helpful

Learning Objectives

This course offers comprehensive training on using data mining capabilities in Oracle Database 19c. Participants will explore key techniques such as classification, regression, clustering, association, and anomaly detection. Through hands-on labs, learners will prepare data, build models, and evaluate results using Oracle Data Mining features. The course equips professionals to deliver predictive analytics and improve business intelligence using in-database machine learning tools.

Target Audience

  • Data analysts and data scientists
  • Database developers and administrators
  • BI professionals and data engineers
  • Professionals using Oracle for data analysis

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