This is a 1 ects course taught by a visitor professor from Haaga-Helia's partner Universite Cote D’azur . The course contains three contact sessions during one week in April: Mon 17.4, Wed 19.4, and Fri 21.4.
R is one of the most popular and complete statistical software for data analysis. Being an open-source software is what makes R a widely-used program among academic institutions, international organizations and research centers. In this intensive course you will learn the fundamental steps of importing, cleaning and elaborating different types of data sources.
Students should install two pieces of software in to their own computers: 1) R, the actual programming language (https://cran.r-project.org) and 2) RStudio, an excellent IDE for working with R (https://www.rstudio.com). You must install R before using RStudio.
Pasila Campus
English
17.04.2023 - 21.04.2023
Assessment: Assignments, learning diary, and a final take-home empirical exercise.
02.03.2023 - 12.04.2023
Three contact sessions during one week in April: Mon 17.4, Wed 19.4, and Fri 21.4
Juha Nurmonen, Aki Taanila, Juhani Heikkinen, Toni Ernvall
15 - 40
Evaluation: Approved 'H'
TRATI Business Information Technology, ITBBA Business Information Technology
0.00 cr
0.00 cr
H-5