•   Introduction to Data Analytics for Business ANA001TR1AE-3029 20.10.2025-12.12.2025  5   (DBE3PCDBI, ...) +-
    Learning objectives
    After having completed this course or attained an equivalent competence level, the student:
    - utilises business and customer data from various sources to support decision-making process
    - processes data in Excel or other suitable software
    - formulates data into tables and calculate descriptive statistics
    - visualises data correctly
    - analyses and interprets correlations and their significance
    - is able to interpret, report and critically assess the results
    Starting level and linkage with other courses
    Prerequisite is the successful completion of course ICT Key Comeptences.
    Contents
    - statistics and their representation as tables and charts
    - descriptive statistics
    - correlation and regression
    - time series
    - basics of statistical inference
    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.

    Is able to calculate basic descriptive statistics. Visualises data with basic figures and tables. Is able to list the main results.
    Assessment criteria - grade 3
    Analyses correlations, differences and trends. Visualises data with various figures and tables. Is able to interpret and report the results.
    Assessment criteria - grade 5
    Analyses and interprets independently correlations, differences and trends. Selects and creates suitable graphical presentations to visualise data. Is able to interpret and assess the results and give suggestions for development.
    Teaching methods and instruction

    Case studies generated by ERPsim simulation game
    Case studies based on flat files such as csv, Access and Excel
    Case studies based on data on database servers

    Learning material and recommended literature

    Materias are given on course Moodle page

    Working life connections

    Simulated business cases

    Campus

    Porvoo Campus

    Teaching language

    English

    Timing

    20.10.2025 - 12.12.2025

    Learning assignments

    Weekly assignments

    Enrollment

    14.05.2025 - 22.05.2025

    Groups
    • DBE3PCDBI
    • CONTACT
    • ABE3PCAVI
    • EXCH
    Alternative learning methods

    RPL

    Teachers

    Jutta Heikkilä

    Seats

    15 - 50

    Further information

    Assessment based on returned assignments and questionnaires

    Degree Programme

    DIGIBBA Digital Business Innovations

    R&D proportion

    0.00 cr

    Virtual proportion

    0.00 cr

    Evaluation scale

    H-5