Emitido por: Universidad de Milano-Bicocca

[CAPSTONE] Introduction to Data Mining


Introducción al Curso

The Introduction to Data Mining pathway teaches you how to use the data mining methodology to analyze both structured, semi-structured and un-structured data. The pathway consists of the following courses; Classification, Clustering and Association, and Text Mining. You will learn how to develop data mining workflows using the KNIME open source software platform. You are not required to code any programs while KNIME allows you to use open source programming languages and powerful commercial software environments; R, Weka, Matlab, Python, Java, ... and to access data from powerful platforms such as Twitter and Google.

Asistencia y Certificados

Cuota de Asistencia
GRATUITO!
Costo del Certificado de Participación
GRATUITO!

Categorìa

Informatica, Gestión y Análisis de datos

Horas de Entrenamiento

0

Nivel

Beginner

Idioma

English

Duraciòn

1 Semana

Tipología

Online

Curso

Capstone

Acceso reservado para los miembros del pathway

Agenda del Curso

Apertura del Curso

may 15, 2017

Cierra Curso

No establecido

Conocimiento Recomendado

Basic knowledge of probability, statistics, and mathematics.

Reglas para la obtención de certificados y Exámenes

Costo del Certificado de Participación

You should attend the three courses of the Pathway in the following order: Classification, Clustering and Association, and Text Mining. However, if you know how to use the KNIME open source platform, have basic knowledge of the R programming language, then, no special order applies. Each course of the Pathway issues an Attendance Certificate and a Badge whether the following conditions are fulfilled: all practice sessions associated with each lecture are accomplished; the KNIME workflow associated with each practice session is uploaded to the course platform.