Knowledge Discovery in Databases (KDD) Training in Adelaide
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 Adelaide or in NobleProg corporate training centers in Adelaide.
NobleProg -- Your Local Training Provider
Adelaide City Central
Level 5, City Central, Tower 2, Adelaide, Australia, 5000
The Adelaide City Central Centre is in the heart of the city in the legal and financial district. Situated in a premium offic...
The Adelaide City Central Centre is in the heart of the city in the legal and financial district. Situated in a premium office building with outstanding green credentials, the centre is in one of the most technologically advanced buildings in Australia. Tenants in the building include several blue chip companies while the surrounding area is a hub for law firms, banks and insurance companies. Other important businesses in Adelaide include electronics, media, oil and defence. The building which has floor to ceiling windows has the latest technology in place to save substantially on energy, water and air conditioning. As well as offices, the building has a retail area, landscaped plazas and restaurants. The centre is within walking distance of many of Adelaide's attractions including the River Torrens, Adelaide Central Markets and Adelaide Oval.
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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