Data Mining and Modeling
Data Mining and Modeling is the IT process of discovering interpretative patterns, relationships, and correlations, in large data sets using statistical algorithms. It involves the design of predictive models to forecast future trends and behaviors for data-supported decision making.
Level 1: Emerging
At an emerging level, you are beginning to understand the basics of data mining and modeling. You can identify patterns and trends, but require guidance to interpret complex data sets.
Level 2: Proficient
At a proficient level you are able to effectively use various data mining techniques to extract valuable insights from large datasets, and develop accurate predictive models to support decision-making in IT environments.
Level 3: Advanced
At an advanced level you are proficient in utilizing complex algorithms to extract meaningful patterns from large datasets, applying statistical techniques to build predictive models, and optimizing data mining processes for efficiency.
