[CAPSTONE] Introduction to Data Mining
Introduzione al Corso
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.Informatica, Gestione e Analisi dei Dati
Ore di Formazione0
LivelloBase
Tutoraggio
English
Durata1 Settimane
TipologiaOnline
Tutoraggio Soft
Corso
Capstone
Accesso riservato agli iscritti del pathway
Agenda del Corso
Apertura Corso
Chiusura Corso
Pre-requisiti
Basic knowledge of probability, statistics, and mathematics.Regole per ottenere gli Attestati e sostenere gli Esami
Attestato di Partecipazione
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.
