[CAPSTONE] Introduction to Data Mining
Este Curso es parte de
Pathway en 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.Informatica, Gestión y Análisis de datos
Horas de Entrenamiento125
NivelBeginner
Metodos de CursoTutoría
English
Duraciòn1 Semana
TipologíaOnline
Estado del CursoTutoría Soft
Curso
Capstone
Acceso reservado para los miembros del pathway
Agenda del Curso
Iniciar Suscripciones
Apertura del Curso
Comenzando la Tutoría
Tutoría Final
Tutoría Soft
Cierra Curso
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.
