Section: Day15 - Revision of the week and project, Final Test | IT5507 - Fundamentals of Data Science - 2025 - XKU | Whitireia&WelTec Moodle

• -- School of Information Technology --

  Fundamentals of Data Science IT5507

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    Announcements Forum
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    Welcome to the Fundamentals of Data Science Course!

    We hope you enjoy your learning journey!

  • Lecturer: Dr Hamid Mahroeian

    Email: hamid.mahroeian@whitireia.ac.nz

    
    

    Lecturer: Dr Harvey Ho

    Email: harvey.ho@weltec.ac.nz

    
    

  • Course aim: 

    To provide learners with a basic understanding of how data is modelled, stored, manipulated, and analysed using databases and visualisation techniques.

    
    

    Learning outcomes:
    

    By the end of this course, the student will be able to:

    1. Describe and explain data using a variety of visualization techniques and software tools.
    2. Analyse the data requirements of simple systems and model those requirements using conceptual and logical data modelling techniques.
    3. Create a simple database that includes tables, columns, primary keys, foreign keys and simple queries.

    Student Resources:
    Learning materials will be provided as required during the course via Moodle.
    Any other reference material will be provided by the lecturer throughout the course.

    Completion criteria:

    Students must attempt all assessments and achieve an overall grade of 50% to be successful in this course.