Certified Data Mining Professional (CDMP)
As the world becomes increasingly data-driven, the importance of extracting insights from large and complex datasets has never been greater. The Certified Data Mining Professional (CDMP) professional certification program is designed to equip individuals with the knowledge and skills needed to uncover patterns and relationships in data, and turn them into valuable insights that drive decision making.
Certification Program Objectives:
- Apply advanced data mining techniques to identify patterns, trends, and insights in large datasets.
- Utilize text mining and analysis techniques to extract valuable information from unstructured data.
- Understand and apply entity matching techniques to integrate data from disparate sources.
- Use data mining tools and techniques for exploratory analysis and anomaly detection to enhance decision-making processes.
- Apply critical thinking and problem-solving skills to real-world data mining challenges.
- Develop and implement data mining strategies that align with organizational objectives.
- Communicate findings and insights from data mining analyses effectively to both technical and non-technical audiences.
- To be certified as CDMP, student should take up a 1.5 hours exam at the designated examination centers.
- The qualifying exam would consist of 50 multiple choice questions, testing core certification modules.
- Professionals with relevant experience and other qualifying criteria may be exempted from the examination.
- Advanced Data Mining Techniques
- Text Mining and Analysis
- Data Integration through Entity Matching
- Data Mining Tools and Techniques for Exploratory Analysis and Anomaly Detection