The Data Mining - Principles and Best Practices training course introduces to the power and potential of data mining and shows them how to discover useful patterns and trends from data. This course focuses on how to properly build reliable predictive models and interpret their results with confidence.
By attending Data Mining - Principles and Best Practices workshop, delegates will learn to:
- Identify projects with a high probability of success
- Translate a business problem into a closely related set of technical tasks
- Transform raw data to create higher-order features that reveal information
- Build models using powerful nonlinear techniques, such as decision trees and neural networks
- Use multiple re-sampling techniques to avoid overfit and predict how well models will perform in actual use
- Interpret and validate modeling results
- Become aware of the top analytic mistakes and how to avoid them
- Experience with basic modeling, such as regression
- Prior exposure to Base SAS coding, though it is not required
- Exposure to SAS Enterprise Miner, though it is not required
This Data Mining - Principles and Best Practices class is designed for Those who have a strong interest in solving a business problem, and who have a technical background, especially familiarity with computer programming and statistics.