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.

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.

Modes of study: pre-assignment, participation in course work

BOTH online and in-class parts are required for the completion of the course.

 Pre-assignment: Please write a short (half A4) text stating:

1)    Your name & disciplinary background

2)    State your own motivation for participating on this course and what do you expect to learn.

Maximum number of students is 20. Priority will be granted for the first enrolments, based on the proportions: 60% PhD students 30% MSc students and 10% BSc students. Students should check the selection result via NettiOpsu after the enrolment period.