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EDUOPEN: Área personal

Universidad de Milán-Bicocca, University of Perugia
Pathway en

Introduction to Data Mining


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Idioma: English

Categorìa: Computer and Data Sciences

Duraciòn: 120 Horas

Asistencia: Gratuito


666 Estudiantes Inscritos

sep 11

2016

No establecido

  • Portada
  • Cursos
  • Sumario
    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.
  • Conocimiento Recomendado
    Basic knowledge of probability, statistics, and mathematics.
  • Course sequence

    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.

  • Evaluation and Certificates
    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.
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  • Profesores y Tutors
    FABIO STELLA

    FABIO STELLA

    Department of Informatics, Systems and Communication
  • Lista de Cursos
  • test course
    No publicado

    University of Perugia

    test course

    • 0 Horas
    • sep 11, 2016
    • No establecido

  • Data Mining - Clustering and Association
    FABIO STELLA

    Universidad de Milán-Bicocca

    Data Mining - Clustering and Association

    • 40 Horas
    • sep 14, 2016
    • No establecido

  • Text Mining
    FABIO STELLA

    Universidad de Milán-Bicocca

    Text Mining

    • 35 Horas
    • abr 21, 2017
    • No establecido

  • [CAPSTONE] Introduction to Data Mining
    FABIO STELLA

    Universidad de Milán-Bicocca

    [CAPSTONE] Introduction to Data Mining

    • 125 Horas
    • may 15, 2017
    • No establecido

  • Data Mining - Classification
    En Evidencia
    FABIO STELLA

    Universidad de Milán-Bicocca

    Data Mining - Classification

    • 45 Horas
    • abr 21, 2019
    • No establecido

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