[CAPSTONE] Introduction to Data Mining

Questo Corso è parte del

Pathway in Introduction to Data Mining


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.

Frequenza e Attestati

Frequenza
GRATUITO!
Attestato di Partecipazione
GRATUITO!

Categoria

Computer and Data Sciences

Ore di Formazione

125

Livello

Base

Modalità Corso

Tutoraggio

Lingua

English

Durata

1 Settimane

Tipologia

Online

Stato del Corso

Tutoraggio Soft

Corso

Capstone

Accesso riservato agli iscritti del pathway

Avvio Iscrizioni

31 Mar 2017

Apertura Corso

15 Mag 2017

Inizo Tutoraggio

15 Mag 2017

Fine Tutoraggio

10 Giu 2017

Tutoraggio Soft

11 Giu 2017

Chiusura Corso

Non impostato
Basic knowledge of probability, statistics, and mathematics.
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.

FABIO STELLA

FABIO STELLA

Department of Informatics, Systems and Communication

PAOLA CHIESA

PAOLA CHIESA

Department of Informatics, Systems and Communication