Graduate School of health and Medical Sciences

Introduction to R for Basic Statistics (for English Course)
Provider: Faculty of Health and Medical Sciences

Activity no.: 3302-25-00-01	There are 30 available seats
	Enrollment deadline: 17/01/2025

Date and time	17.02.2025, at: 08:00 - 20.02.2025, at: 15:00
Regular seats	30
Course fee	2,280.00 kr.
Lecturers	Alessandra Meddis
ECTS credits	1.40

Contact person	Susanne Kragskov Laupstad E-mail address: skl@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration E-mail address: phdkursus@sund.ku.dk

Aim and content This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Please read under "Participants". All applicants will be put on the waiting list until enrollment deadline. The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member faculties. All other participants must pay the course fee Course title Introduction to R for Basic Statistics (for English R course) Learning objectives The course aims to give an introduction to the statistical software R by the user interface Rstudio. The course is designed for health science researcher who wants to become more familiar with R for simple calculations, data management, data exploration and analysis. In particular, the course provides basic functionalities matching the needs for the courses “Basic Statistics for Health Science Researchers” and “Statistics for Experimental Researchers”. A student who has met the objectives of the course should be able to: • Import/load data into R • Use the interface Rstudio • Implement basic calculation in R • Manipulate data in R • Create descriptive analyses in R • Plot graphics in R Content We will explain basic concepts on the statistical software R (install R and Rstudio interface, upload packages, load/write data). Use of functions in R with the help page and simple mathematical calculations. Basic tools for data manipulation (data structures in R, data frame creation, define/select variables), descriptive statistics in R and creation of graphics in basic R (scatterplot, box-plot and histogram). Half of the course will include exercises. Prerequisites • The course is for people that have no or little prior knowledge of R. Participants Ph.D.-students. In case of vacant seats, also other health researchers. The maximum number of participants is 30. Enrolment priority for the course is reserved to students registered to the course of “Basic Statistics for Health Science Researchers (English course)” with the nearest starting date. Registration deadlines of the Introduction to R course are synchronized with these two courses. Seats will be first assigned to students enrolled in at least one of these courses. Therefore, all applicants will be put on the waiting list until the enrolment deadline. Any remaining available seats will be allocated to other PhD students on a first-come, first-served basis. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: All graduate programmes Language English Form The course will be mostly interactive with a mixture of lectures and exercises. Course directors Assistant Professor Alessandra Meddis Teachers Alessandra Meddis and other members of the Section of Biostatistics, Department of Public Health, University of Copenhagen. Dates 17, 19, 20 February 2025, Monday and Wednesday 8-15 and Thursday 9-12. Course location CSS Registration Please register before 17 January 2025. Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment. Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

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