Getting Started With Data Mining
A non-technical primer for absolute beginners
This training session is a perfect place to start if you are new to data mining and have little-to-no background in statistics
or machine learning.
- In one day, we shall cover:
- Data basics: what kind of data is required for data mining and predictive analytics; In what format must the data be; what steps are necessary to prepare data appropriately
- What kinds of questions can we answer with data mining and predictive analytics
- How predictive models work: the inputs, the outputs, and the nature of the predictive mechanism
- Evaluation criteria: how predictive models can be assessed and their value measured
- Project issues: what it takes to successfully conduct a predictive analytics project from original conception to successful deployment
- Specific background knowledge to prepare you to take one of our practical data mining courses on CART, MARS, TreeNet® or RandomForests