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University of Milano-Bicocca, University of Perugia
Pathway in

Introduction to Data Mining

Degree: Undergraduate Degree

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Language: English

Category: Computer and Data Sciences

Duration: 120 Hours

Attendance: Free


666 Enrolled Students

Sep 11

2016

Not Set

  • Cover
  • Courses
  • Overview
    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.
  • Background and Requirements
    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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  • Instructors
    FABIO STELLA

    FABIO STELLA

    Department of Informatics, Systems and Communication
  • Course List
  • test course
    Unpublished

    University of Perugia

    test course

    • 0 Hours
    • Sep 11, 2016
    • Not Set

  • Data Mining - Clustering and Association
    FABIO STELLA

    University of Milano-Bicocca

    Data Mining - Clustering and Association

    • 40 Hours
    • Sep 14, 2016
    • Not Set

  • Text Mining
    FABIO STELLA

    University of Milano-Bicocca

    Text Mining

    • 35 Hours
    • Apr 21, 2017
    • Not Set

  • [CAPSTONE] Introduction to Data Mining
    FABIO STELLA

    University of Milano-Bicocca

    [CAPSTONE] Introduction to Data Mining

    • 125 Hours
    • May 15, 2017
    • Not Set

  • Data Mining - Classification
    Featured
    FABIO STELLA

    University of Milano-Bicocca

    Data Mining - Classification

    • 45 Hours
    • Apr 21, 2019
    • Not Set

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