Business Intelligence and Analytics (Per 2)

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Business Intelligence and Analytics (Per 2)

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Business

  • Language Level

    Taught In English

    Hours & Credits

  • ECTS Credits

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    COURSE OBJECTIVE
    Quantitative Skills
    •Using business intelligence and data mining suites to create insight from data and tackle business problems

    Knowledge
    •Defining, describing and recalling the basic concepts, constituent components, principles and theories underlying the use and the deployment of business intelligence & analytics solutions.

    Bridging Theory and Practice
    •Choosing, applying, and evaluating business intelligence & analytics concepts, principles and solutions to solve business problems.

    COURSE CONTENT
    Dealing with the overabundance of data and the ability to transform data into insights have become critical success factors for organizations. This course offers the handles that are needed to unleash the potential of data, and business intelligence and analytics solutions in order to create competitive advantage. The course primarily has a managerial focus. The students will acquire hands-on experience with trending BI&A technologies to learn how to use their features and characteristics in practice. Our partners from the industry and the business consulting sector will be closely involved in the course, sharing their insights and experience during several interventions.

    Keywords in this area are ‘big data’, ‘data science’, ‘business intelligence’, ‘data mining’ and ‘data-driven decision making and innovations’.

    TEACHING METHODS
    Lectures
    Tutorials
    Workshops

    TYPE OF ASSESSMENT
    Assessment Written exam – Individual assessment
    Interim Assignment(s) / Tests:
    Analytics practicum tests – Individual assessment

    RECOMMENDED BACKGROUND KNOWLEDGE
    Recommended knowledge Elementary course on (Management) Information Systems (for example: Laudon, K.C. & Laudon, J.P. (2016). Essentials of MIS (12 th edition). Basic knowledge on statistics and Microsoft Excel.

    BK: 2.1 Business Information Technology
    IBA: 2.1 Business Information Systems

Course Disclaimer

Courses and course hours of instruction are subject to change.

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