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Front Page > Current Education > Mechanical and Production Engineering (KT) > 2021V > Year 3 > Datan analysointi ja hyödyntäminen (IK00BF08)

Datan analysointi ja hyödyntäminen

Structure Type: Study unit
Code: IK00BF08
Curriculum: KT 2021V
Level: Bachelor of Engineering
Year of Study: 3 (2023-2024)
Semester: Spring
Credits: 5 cr
Responsible Teacher: Agbejule, Adebayo
Language of Instruction: English

Courses During the Academic Year 2023-2024

Impl.Group(s)Study TimeTeacher(s)LanguageEnrolment
3001ET2021V-3B, KT2021V-3B2024-01-08 – 2024-05-25Viktor AsplundFinnish2023-12-01 – 2024-01-12

Learning Outcomes

Upon completing this course, students will be able to:

understand the concepts needed for data science
learn how to work with different types of data
learn how to plot different types of data
learn skills on how make data driven decisions

Student's Workload

70h scheduled studies
65h autonomous studies
The assessment of student’s own learning 1 h is included in contact lessons.

Prerequisites / Recommended Optional Courses

Basic knowledge of Excel
Basics of Probability and Statistics


This course teaches students how to use data in organisations. The course would prepare students to learn how to work with different types of data and make data driven decisons. This would include understanding the challenges and capabilities of making decisions using data. Topics to be covered include data manipulation, descriptive and predictive analysis. The course will include working with data and software. Contents of course include:
Evidence-based analysis
Business Analytics
Descriptive Analytics
Predictive Analyttics
Data Mining

Regional Impact

Students would be do decisions on based sound scientific principles related to issues afftect Finland and the EU.


Students would be able to do analysis on global issues such the enviironment and climate change.

Recommended or Required Reading and Other Learning Resources/Tools

Business Analytics, 2nd Edition by John Evans

Mode of Delivery / Planned Learning Activities and Teaching Methods

Lectures, assignments, team works and project work

Assessment Criteria

1: The student is able, with guidance, to utilise the methods learnt during the study unit.
3: The student is able to utilise the methods learnt during the study unit independently.
5: The student is able to utilise the methods learnt during the study unit independently and is able apply the learnt knowledge in new contexts

Assessment Methods

Active participation, team works, exams and project work