Knowledge Discovery in Databases (KDD) Training in Santiago
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) trainings in Santiago can be carried out locally on customer premises or in NobleProg corporate training centers.
The Center occupies the fifth and ninth floors of a modern office block with an attractive, spacious reception area. It has i...
The Center occupies the fifth and ninth floors of a modern office block with an attractive, spacious reception area. It has its own secure underground parking and is protected by 24-hour CCTV. It is just a few minutes' walk from an underground railway station. Arturo Meriono Benitez International Airport is 26km away.
The Santiago Vitacura Center is located on the 15th floor of one of the newest high-rise buildings in the city, situated near...
The Santiago Vitacura Center is located on the 15th floor of one of the newest high-rise buildings in the city, situated near El Bosque, an attractive business and residential district, and adjacent to the Santiago World Trade Center. The Center has its own on-site coffee bar and secure underground parking. There are good public transport connections, and the international airport is 40 minutes 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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