•   Excel and BI ANA001AS3AE-3001 21.10.2024-13.12.2024  5   (IBE5PASCM, ...) +-
    Learning objectives
    During the course, students will learn to manipulate data from various sources into a format that can be analyzed using Excel functions. Additionally, they will be introduced comprehensively to Pivot tools and Excel's data model, and will create visual reports based on the data, also utilizing Power BI.
    Starting level and linkage with other courses
    ICT Competencies or equivalent knowledge. https://opinto-opas.haaga-helia.fi/course_unit/ICB001HH1AE
    Advanced Use of Excel course recommended. https://opinto-opas.haaga-helia.fi/course_unit/ANA002AS2AE
    Contents
    Quick analysis of the area and table formatting
    Traditional lookup functions and their limitations
    XLOOKUP
    Query - Importing and editing external data
    Excel's data model
    PowerPivot
    Reporting and data visualization
    Overview of Power BI Desktop program
    Assessment criteria
    Assessment criteria - grade 1
    When the implementation type of the course is CONTACT, ONLINE or BLENDED it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.

    The student shows a basic understanding of Excel's common features and analysis tools. They can import and modify data in Excel under guidance, construct guided data models, and create simple dashboards for data analysis based on them.
    Assessment criteria - grade 3
    The student shows proficiency in Excel's basic features and fundamental analysis tools. They are capable of importing and formatting data in Excel, constructing simple data models, and using them to analyze data effectively.
    Assessment criteria - grade 5
    The student shows exceptional command of Excel's core features and key analysis tools. They adeptly utilize Excel's functionalities and techniques to a high degree. Additionally, they can proficiently source, import, and format data from diverse origins into Excel, construct advanced data models, and generate versatile dashboards for comprehensive data analysis.

    Teaching methods and instruction

    Contact sessions with lecture and Excel & PowerBI exercises

    Learning material and recommended literature

    Material available in Moodle.

    Recommended sites:
    https://support.microsoft.com/en-us/excel
    https://learn.microsoft.com/en-us/training/powerplatform/power-bi

    Campus

    Pasila Campus

    Exam dates and re-exam possibilities

    Will be informed in the beginning of the course.

    Teaching language

    English

    Timing

    21.10.2024 - 13.12.2024

    Enrollment

    03.06.2024 - 18.10.2024

    Groups
    • IBE5PASCM
    • IBE5PAMAR
    • CONTACT
    • IBE5PACOM
    • IBE5PAACC
    • EXCH
    • ITE3PAICB1
    Teachers

    Antti Mitronen, Timi Kohonen

    Seats

    15 - 45

    Further information

    Assessment criteria - grade 1
    The student shows a basic understanding of Excel's common features and analysis tools. They can import and modify data in Excel under guidance, construct guided data models, and create simple dashboards for data analysis based on them.

    Assessment criteria - grade 3
    The student shows proficiency in Excel's basic features and fundamental analysis tools. They are capable of importing and formatting data in Excel, constructing simple data models, and using them to analyze data effectively.

    Assessment criteria - grade 5
    The student shows exceptional command of Excel's core features and key analysis tools. They adeptly utilize Excel's functionalities and techniques to a high degree. Additionally, they can proficiently source, import, and format data from diverse origins into Excel, construct advanced data models, and generate versatile dashboards for comprehensive data analysis.

    Assessment criteria - failed
    The above conditions are not met.

    Degree Programme

    ITBBA Business Information Technology, INTBBA International Business

    R&D proportion

    0.00 cr

    Virtual proportion

    0.00 cr

    Evaluation scale

    H-5