Oracle Database 19c: Data Mining Techniques Course Overview

The Oracle Database 19c: Data Mining Techniques course is designed to educate learners on the comprehensive features of data mining within the Oracle Database environment. It begins with an Introduction to the fundamental concepts, providing a solid foundation for understanding data mining. The course progresses to Data Mining Concepts and Terminology, clarifying the key terms and principles used in the field.

In The Data Mining Process module, learners are guided through the steps involved in mining data effectively. Oracle Data Miner is introduced, demonstrating how to leverage this tool for mining tasks. The course then delves into practical applications, teaching students about Classification Models, Regression Models, and Clustering Models. Each model is essential for predicting outcomes, trends, and segmenting data.

Advanced techniques like Market Basket Analysis and Anomaly Detection are covered, equipping learners with skills to uncover patterns and outliers. Finally, the course emphasizes the importance of Deploying Data Mining Results, ensuring that the insights gained are effectively integrated into business processes. By completing this course, learners will be able to apply robust data mining techniques using Oracle Database 19c, turning data into actionable intelligence.