Oracle Database 19c: Data Mining Techniques Course Overview
The 'Oracle Database 19c: Data Mining Techniques Course' equips data professionals with essential skills to leverage advanced data mining techniques. This course is vital for data analysts, database administrators, and data scientists seeking to enhance their decision-making capabilities and unlock valuable insights from large datasets, ultimately driving business growth and innovation.
Course outline & what you'll learn
- Definition and importance of data mining
Overview of data mining process
- Applications of data mining in various industries
- Key features and enhancements in Oracle Database 19c
- Architecture of Oracle Database
- Setting up Oracle Database for data mining
- Data cleaning and preprocessing
- Data transformation techniques
- Data exploration and visualization
Overview of classification methods
- Decision trees and random forests
- Support vector machines
- Performance evaluation metrics for classification
- Introduction to clustering
- K-Means clustering
- Hierarchical clustering
- Evaluating clustering results
- Understanding association rules
- Apriori algorithm
- Application of association rules in business
- Fundamentals of time series data
- Forecasting techniques
- Seasonal decomposition of time series
- Neural networks and deep learning
- Ensemble learning methods
- Anomaly detection techniques
- Using Oracle Data Mining (ODM) tools
- Building and deploying data mining models
- Managing data mining workflows
- Real-world examples of data mining
- Best practices in data mining projects
- Hands-on exercises and project work
- Summary of key takeaways
- Emerging trends and technologies in data mining
- Resources for further learning and development
Why train with Traincrest
This Oracle course is delivered by Traincrest's certified instructors, live online or in the classroom, with hands-on labs and a 98% exam success rate. Trusted by 500+ companies and 50,000+ students worldwide.