Vaihda kieltä: English

Etusivu > Ajankohtaiset koulutukset > Konetekniikan koulutus (KT) > 2023V > Vuosi 3 > Datan analysointi ja hyödyntäminen (IK00BF08)

Datan analysointi ja hyödyntäminen

Rakennetyyppi: Opintojakso
Koodi: IK00BF08
OPS: KT 2023V
Taso: Insinööri (AMK)
Opiskeluvuosi: 3 (2025-2026)
Lukukausi: Kevät
Laajuus: 5 op
Vastuuopettaja: Agbejule, Adebayo
Opetuskieli: Englanti

Suoritus ennakkoon? Katso toteutukset lukuvuonna 2023-2024.


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

Opiskelijan työmäärä

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

Edeltävät opinnot / Suositellut valinnaiset opinnot

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


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.


Business Analytics, 2nd Edition by John Evans

Opetusmuoto / Opetusmenetelmät

Lectures, assignments, team works and project work


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


Active participation, team works, exams and project work