20 January 2023
Data Mining Without Coding: Using Rapid Miner in the Context of Education
This course is designed to give an overview of applying data mining in an educational context to students without a computer science or programming background. Some examples of the data mining methods that will be learnt include supervised machine learning algorithms like Decision Trees, Rule Induction, Support Vector Machines, and Artificial Neural Networks. In addition to that, unsupervised learning methods like clustering and association rule mining will be practised.
Anyone interested in understanding the basics of data mining.
Anyone interested in mining data using machine learning algorithms.
Anyone interested in learning RapidMiner.
You will understand the basics of data mining methods and learn how to implement them in a free open-source software. You will learn how to use bottom-up methods to find existing patterns and relationships in datasets, helping you to improve your decision-making skills.
Upon full participation and completion of course work students will be awarded 3 ECTS points and a diploma of completion.
EUR 350: Early-bird course Fee until 30 November
EUR 400: Regular course fee after 30 November