12 August 2018
Data Mining and Applications
Basics of data warehousing and data mining, data warehousing architecture, data storage phases, data mining, association, concept definition, classification, prediction and functional properties, such as clustering, data mining techniques, decision trees, and an open source implementation of the concepts learned through practice for real world problems. For applications, some popular data mining tools such as; KNIME, MATLAB, PYTHON, R and SPSS will be used.
Prof. Dr. Zafer Aslan
Who are interested in Basic programming and Statistics.
At the end of the course, students will be able to understand data warehouse architecture, data mining models and related algorithms and apply data mining models on real data. Students will prepare a data-mining project with applications for real world problem.
USD 750: Program Fee Includes;
Tuition fee for one course ( 50 hours of contact hours )
14 Nights Superior Hostel Accommodation in shared rooms
Free museum card
Two-weekend sightseeing tours ( Bosphorus Boat Tour & Historical Peninsula )
USD 690: Early Registration Discounted Fee: 690 USD
Deadline: 01 June 2018