Oracle Database 19c: Data Mining Techniques Course Overview:

The Oracle Database 19c: Data Mining Techniques certification empowers individuals with the ability to effectively apply data mining methodologies using Oracle Data Miner 19c. Concentrating on essential data mining tasks such as prediction, clustering, and feature selection, this certification holds immense value across industries, offering insights into customer behavior, targeted marketing strategies, and predictive analysis of business and market scenarios. Certified professionals adeptly wield their skills to devise and deploy intricate data models, employ advanced data mining algorithms, and proficiently decipher and communicate outcomes, thereby harnessing data for well-informed business decisions. Leveraging Oracle Data Miner’s user-friendly graphical interface, these techniques become easily accessible and comprehensible, facilitating seamless exploration of data mining methodologies.

Intended Audience:

• Database administrators
• Data analysts
• IT professionals maintaining Oracle databases
• Computer science students
• Business Intelligence professionals
• Data scientists
• Software developers using Oracle
• IT project managers working with Oracle data
• Professionals aspiring to learn data mining techniques.

Learning Objectives of Oracle Database 19c: Data Mining Techniques:

The learning objectives of the Oracle Database 19c: Data Mining Techniques course are centered on acquiring profound expertise in advanced data mining techniques and algorithms. Participants will strive to master the utilization of the Oracle Data Miner tool, adeptly craft SQL data mining functions, validate models, and proficiently initiate and implement SQL data mining projects. The curriculum empowers learners to adeptly manipulate and reshape data, skillfully assess and scrutinize data attributes, and gain a nuanced grasp of diverse data mining models. The ultimate ambition of the course is to empower participants with the skills to unearth invaluable insights from extensive datasets utilizing Oracle Database 19c, thereby facilitating informed decision-making and enriched data analysis capabilities.