The course provides knowledge to address various data science problems and datasets. At the end of the course, you will be able to define and clarify what data mining is about, be familiar with the standard CRISP data mining approach, be able to use one of the most frequently used toolkits in data mining, the rapidminer, and become familiar with several methods in data mining. A focus lies on machine learning techniques for classification, regression, and clustering. The course covers different examples of text and image analytics in association with real business scenarios.
The course is carried out as contract education and is subject to a fee. Contact Luleå University of Technology for more information.