"Knowing a great deal is not the same as being smart; intelligence is not information alone but also judgment, the manner in which information is collected and used. - Carl Sagan"
M.Sc. Candidate in Statistics. Specialist in Statistics. Specialist in Management for Engineers. GIAC Certified Forensic Analyst. Electronic Engineer.

DM Course Details




COURSE

Gradute. Business Intelligence

UNIVERSITY

Universidad Eafit, Computer Science.

TEACHING PERIODS
There are two main semesters in the academic year.
The next start date is on April 2013

DURATION
3 weeks


OVERVIEW

Nowadays, data mining techniques are a technological tool to industry and research applications, decision-making and knowledge discovering. Via Data Mining the information is remarked as strategic asset as well as the importance of an appropriate analysis in order to find such ‘desire’ business and/or innovation advantage. Data Mining involves a complete set of techniques that look for knowledge extraction from million information records, which is analogous to “precious minerals” that would provide to companies enormous competitive advantages.

The aim is presenting fundamentals and techniques of Data Mining. The module consists of five parts. The first two provide motivation and a simple introduction to the subject. The following three are more technical, including some basic statistical concepts and various modeling techniques using data mining applications.

The course has no other prerequisite or recommendations on prior knowledge.


Further information and a complete course details can be found by clicking on pdf file below.

Temario.pdf

Sesión 0.pdf
Sesión 1.pdf
Sesión 2.pdf

Sesión 3.pdf
Sesión 4.pdf


ESEl curso de Minería de Datos es ofrecido directamente a empresas, para un mayor información escriba al correo info@gustavovalencia.com o realice clic en el archivo pdf a continuación.
Curso Minería de Datos.pdf