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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
LUOYY027 Introduction to R 2 ECTS
Organised by
Common Core Studies

Learning outcomes

After the course the student is familiar with the R environment. Further, the student is familiar with the basic R operations and objects, data exploration and data visualization.

Contents

R is one of the most widely used software for statistics and data science. In this course, the students will have the chance to become familiar with basic R objects, operations, visualizations tools and programming. The course will have in-class and online components. The online material (more information here: http://www.uta.fi/cast/events/Ronline.html) should be done before the first day of the course or between the two in-class days of the course. The second in-class day of the course will offer the chance to get a deeper knowledge about R and to analyze own data.

Teaching methods

Teaching method Contact Online
Lectures
Independent work
Exercises

Teaching language

English

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In English
Exercise(s) 
In English

Evaluation

Pass/fail.

Belongs to following study modules

Faculty of Natural Sciences
Faculty of Natural Sciences
Tampere Summer School
2017–2018
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Faculty of Natural Sciences