Learning R for research and reporting: From basics to advanced applications - kurs
Learning R for research and reporting: From basics to advanced applications
Start:
12.01.2024
Søknadsfrist:
01.12.2023
Undervisningsform:
Nettstudium med digitale samlinger
Pris:
13500 Kr
Studiepoeng:
15
Emnekode:
PSY6016
Det er dessverre for sent å søke på dette kurset. Du kan finne alternative kurs på våre nettsider.
This introductory course is designed to help you discover the power of R - a comprehensive statistical software package.
Målgruppe
Researchers in higher education, commissioned researchers ("oppdragsforskere", e.g., NINA, Samfunnsforskning, FHI), consultants, data scientists, statisticians and employees in the private sector. The course may also be of interest for journalists and other professions.
Innhold
Following this course, you will become a proficient user of R, capable of effectively communicating complex data insights through well-informed reports. Our program offers a thorough and hands-on exploration of R programming, covering the most important modern packages.
Participants are thus provided with a strong foundation in the language and equipped with the skills necessary for advanced applications in research and reporting. Based on a combination of online-lectures, assignments, and live-sessions, you will be provided with the tools to explore and exploit the R universe.
As a special feature, we offer individual consultations with the course holders - expert statisticians and authors of two books on the R software - as part of the course.
Emnebeskrivelse
Opptakskrav
The admission requirement is a master's degree.
Undervisning, eksamen og pensum
Tid og sted for undervisning
The course will be given in English, as a fully online course. We plan weekly live lectures and assignments as well as online meetings for feedback and discussions. There will be opportunities for one-on-one consultancy/discussions with the lecturers.
Spring 2024:
Live lectures: 15 x 2 hours
Individual assignment work: 15 x 2 hours
Recorded assignment review: 15 x 1 hours
Live individual consultancy: 1-2 hours per student
Pensumlitteratur/kursmateriell
Andrews, M. (2021). Doing Data Science in R. Sage.
Baruffa, O. (accessed, 2023). Big Book of R. https://www.bigbookofr.com/
Mehmetoglu, M. & Mittner, M. (2022). Applied Statistics Using R: A Guide for the Social Sciences. Sage.
Wickham, H. & Grolemund, G. (accessed, 2023). R for Data Science. https://r4ds.had.co.nz/