Knowledge Discovery in Databases (KDD) Training in Örebro
Online or onsite, instructor-led live Knowledge Discovery in Databases (KDD) training courses demonstrate through interactive hands-on practice the processes involved in KDD and how to implement those processes.
KDD training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Örebro onsite live Knowledge Discovery in Databases (KDD) trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Örebro, City Center
NobleProg classroom in Clarion Hotel Örebro, Kungsgatan 14, Örebro, sweden, 702 11
Located in central Örebro in the midst of the shopping and business district. You can find popular tourist destinations, suc...
Located in central Örebro in the midst of the shopping and business district. You can find popular tourist destinations, such as Orebro Castle, Wadköping village and Gustavsvik water park near the hotel. Train to Örebro central station or
Örebro Södra station. Remote bus to Örebro central station. Local bus to bus stop Våghustorget. We recommend Taxi Courier or Sweden Taxi. 15-minute drive to Örebro Läns airport.
Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing.
In this instructor-led, live course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes.
Audience
Data analysts or anyone interested in learning how to interpret data to solve problems
Format of the Course
After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.
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