Statistical Analysis Solutions in R
Course code
old course code
Course title in Estonian
Andmeanalüüsi lahendused R-keeles
Course title in English
Statistical Analysis Solutions in R
ECTS credits
Assessment form
lecturer of 2022/2023 Autumn semester
Jaagup Kippar (language of instruction:Estonian)
lecturer of 2022/2023 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
Create premise for forming knowledge and skills necessary for finding suitable data analysis methods for presenting data and making conclusions.
Brief description of the course
Review of data analysis methods using case studies. R language areas of use, potentials and restrictions. Using R with other development tools and technologies. Examples of mathematical modelling. Encoding characteristics of real-world phenomenons into modellable form. Finding and checking relationships and dependencies. Interpreting calculation results in real environment while taking into account possible restrictions. Models in ecosystems, meteorology, traffic. Multidimentional scaling, usable equations. Syntax of R. Expressions, vectors, matrixes, standard statistical functions. Graphical presentation of results. Using add-on modules. File input and output. Iterations. Shaping data from web into suitable form for analysis. Using databases and XML-sources.
Learning outcomes in the course
Upon completing the course the student:
- knows potentials and restrictions of automated statistical analysis;
- can plan and implement model describing real-world phenomenon and interpret its results.
Jaagup Kippar
Additional information
Aines osalemiseks on soovitatavad eelteadmised aine IFI7041 "Andmeanalüüs: statistiline andmestik ja kirjeldav statistika" või IFI6201.DT " Teaduslik mõtteviis" mahus.