Knowledge Discovery in Databases (KDD) Training in Valencia
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. Onsite live Knowledge Discovery in Databases (KDD) training can be carried out locally on customer premises in Valencia or in NobleProg corporate training centers in Valencia.
NobleProg -- Your Local Training Provider
Valencian Community
NobleProg Valencia, Plaza Manuel Sanchis Guarner, 10, Valencia, spain, 46004
Valencia is the third most populous city and metropolitan area in Spain, behind Madrid and Barcelona. With a population of mo...
Valencia is the third most populous city and metropolitan area in Spain, behind Madrid and Barcelona. With a population of more than 700,000.
Among its most representative monuments are the Miguelete, the Cathedral, the Towers of Serranos and Quart, the Lonja de la Seda, declared a World Heritage Site by Unesco in 1996, and the City of Arts and Sciences.
In addition to its airport the city of Valencia has lines of rail, tram, metro and buses that circulate throughout the metropolis.
The Hotel Senator Parque Central is located in the heart of Valencia, just a few minutes from the old town. Surrounded by shops, restaurants and entertainment venues, the hotel is well-connected: in front of the property you will find a bus stop that will take you to the beaches (5 km) and Xàtiva station is only a 15-minute walk away.
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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