•   Introduction to Data Analytics for Business ANA001TR1AE-3031 23.03.2026-15.05.2026  5   (ITE2PAICB1, ...) +-
    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
    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.
    Further information
    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.
    Teaching methods and instruction

    Video material available in Moodle
    Excel exercises
    Quizzes

    Learning material and recommended literature

    Material available in Moodle

    Recommended reading: Grady Klein and Alan Dabney: The Cartoon Introduction to Statistics

    Campus

    Pasila Campus

    Exam dates and re-exam possibilities

    Will be informed in the beginning of the course.

    Teaching language

    English

    Timing

    23.03.2026 - 15.05.2026

    Learning assignments

    Exercise 1: Descriptive statistics Exercise 2: Descriptive statistics, Statistical inference, Correlation and regression Exercise 3: All course topics

    Content scheduling

    Exercise deadlines will be informed in Moodle

    Groups
    • ITE2PAICB1
    • VIRTUAL
    • INSTRUCTED
    Teachers

    Jutta Heikkilä

    Seats

    30 - 100

    Further information

    Exercise 1: 20%
    Exercise 2: 20%
    Exercise 3: 20%
    Exam: 40%

    You must pass the exam to pass the course.

    Degree Programme

    ITBBA Business Information Technology

    R&D proportion

    0.00 cr

    Virtual proportion

    5.00 cr

    Evaluation scale

    H-5