Statistical Analysis Solutions in R

Course code

IFI6098.DT

old course code

IFI6098

Course title in Estonian

Andmeanalüüsi lahendused R-keeles

Course title in English

Statistical Analysis Solutions in R

ECTS credits

4.0

Assessment form

Examination

lecturer of 2024/2025 Autumn semester

Jaagup Kippar (language of instruction:Estonian)

lecturer of 2024/2025 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.

- knows potentials and restrictions of automated statistical analysis;

- can plan and implement model describing real-world phenomenon and interpret its results.

Teacher

Jaagup Kippar

Additional information

Aines osalemiseks on soovitatavad eelteadmised aine IFI7041 "Andmeanalüüs: statistiline andmestik ja kirjeldav statistika" või IFI6201.DT " Teaduslik mõtteviis" mahus.

Study programmes containing that course

Mathematics, Mathematical Economics and Data Analysis (MLMB/23.DT)

Computer Science (IFIFB/23.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Computer Science (IFIFB/22.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Computer Science (IFIFB/21.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Integrated Natural Sciences (MLLB/18.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)

Computer Science (IFIFB/17.DT)

Integrated Natural Sciences (MLLB/17.LT)

Integrated Natural Sciences (MLLB/16.LT)

Computer Science (IFIFB/16.DT)

Integrated Natural Sciences (MLLB/00.LT)

Integrated Natural Sciences (MLLB/15.LT)

Computer Science (IFIFB/15.DT)

Computer Science (IFIFB/14.DT)

Computer Science (IFIFB/23.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/22.DT)

Computer Science (IFIFB/22.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/21.DT)

Computer Science (IFIFB/21.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/20.DT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/19.DT)

Integrated Natural Sciences (MLLB/18.LT)

Mathematics, Mathematical Economics and Data Analysis (MLMB/18.DT)

Computer Science (IFIFB/17.DT)

Integrated Natural Sciences (MLLB/17.LT)

Integrated Natural Sciences (MLLB/16.LT)

Computer Science (IFIFB/16.DT)

Integrated Natural Sciences (MLLB/00.LT)

Integrated Natural Sciences (MLLB/15.LT)

Computer Science (IFIFB/15.DT)

Computer Science (IFIFB/14.DT)