Introduction to Data Mining

Following the basic steps of the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology, the Introduction to Data Mining course will present the basic models, tools and methods to do data-driven innovation. The Business Understanding task will familiarise you with the different business scenarios that could benefit from data analytics. Data Understanding, will introduce you to the important aspects of data that should be considered for data-driven analytics solutions. During Data Preparation and Modelling, the course will introduce basic data preparation activities as required by analytics models, as well as a standard set of analytics models with their advantages. Evaluation and Deployment will introduce considerations when interpreting the results of analytic models, as well as how to deploy and refine analytics solutions into a business to support innovation.

Contact Details

Contact Person: 

Client Information Centre
Course Details

Course Delivery Method: 

In Class In Class

Course Duration: 

3 days


R 6 500.00

Course fee Includes: 

Course fees include all material and refreshments during contact days.