Towards data mining
Max amount of FITech students: 30
Amount and quality of data plays a major role in modern machine learning applications. In this course the students are familiarised with different concepts concerning data such as: data gathering, data preprocessing and normalisation, combining data from multiple sources, missing data and outliers.
After this course the student has good capabilities to identify use cases for data that has been gathered in industrial environment or organise high-quality data gathering for new applications.
The course has an electronic EXAM that can be completed at selected university campuses all around Finland. Read more about EXAM here.
More information in University of Oulu’s course page.
You can get a digital badge after completing this course.
datanlouhinta datan kokoaminen poikkeavat arvot esikäsittely koneoppiminen tekoäly machine learning artificial intelligence R-kieli R language
Contact person for applications
Tekoäly ja koneoppiminen