This course is designed to provide a high-level view or roadmap to those considering or beginning a data mining project. Thus, while it will define and discuss each main step of the data mining process, it will not cover any step in exhaustive detail; it is simply a general overview of the concepts. For example, although it is organized around the Cross Industry Standard Process for Data Mining methodology (CRISP-DM), because all the different data mining methodologies, such as Berry and Linoff's Virtuous Circle, share most of the same core elements anyone interested in Data Mining should benefit from the course. In addition, although we will present examples of output from a variety of different SPSS software, including SPSS, AnswerTree, and Clementine, it is not necessary that you own all three of these packages. In many cases you can perform the same data mining task in two or even all three of them.
Kursinformation
Kursens längd: 1 heltidsdagar (09:30 - 16:30)
Pris/person: 3900 SEK (exklusive moms.
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