BIOI2241 Introduction to Statistical Analysis 5 ECTS
Organised by
Person in charge
Juho Heimonen

Learning outcomes

The students understand the basics of statistical data analysis and can perform simple analyses of bio-health data. The students can 1)describe experiments and data using statistical terminology, 2)explain the theoretical basics of estimation and hypothesis testing,3) programmatically manipulate data matrices, 4) explore and visualise data, 5) apply statistical tests, and 6) explain the idea of unsupervised and supervised machine learning. As an introductory course, the students are not expected to obtain deep theoretical understanding or advanced practical skills.


The lectures focus on the bio-health domain and cover the topics needed to reach the learning outcomes. The students practise their hands-on skills by solving exercises using the R language.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
  • In English
Written exam
  • In English
Participation in classroom work
  • In English


Numeric 0-5.

Recommended year of study

1. year autumn

Study materials

Lecture notes and supplementary material

Belongs to following study modules

Department of Future Technologies
Department of Biochemistry
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Department of Future Technologies
DP in Computer Science
DP in Computer Science
DP Bachelor of Science in Techn.(Communication St)
DP in Information and Communication Technology
MDP in Digital Health and Life Sciences (Tech.)
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