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By the end of the course, students will be able to:

• Use R programming language to handle datasets and run code
• Formulate scientific hypotheses, and design and apply appropriate experiments and statistical methods to test them
• Demonstrate an understanding of statistics – from calculating means up to generalized linear models, and apply your knowledge to the datasets provided (and your own in your Master’s thesis)
• Use a variety of methods to clearly present data and statistical results in texts and graphs
• Feel confident in undertaking their Master's thesis analysis and/or moving onto EEB-003 Statistical methods in ecology

Optional study materials:

R for Data Science(Avautuu uuteen välilehteen) (https://r4ds.hadley.nz/(Avautuu uuteen välilehteen)) is a popular beginner-friendly book for learning R. It is free as an online book and covers core concepts like data manipulation, visualization and modeling using the tidyverse suite of packages.

R Project’s Official Documentation is a more comprehensive resource for R covering everything from basic syntax to advanced programming techniques. For beginners “An Introduction to R(Avautuu uuteen välilehteen)” (https://cran.rstudio.com/doc/manuals/r-devel/R-intro.pdf(Avautuu uuteen välilehteen)) is a great place to start.

'The R Book' by M.J. Crawley (https://helka.helsinki.fi/permalink/358UOH_INST/q5v72t/alma9920508753506253(Avautuu uuteen välilehteen)) is another valuable resource that overlaps the contents of this course

Completion methods

The course is fully online and can be undertaken at own pace. To complete the course students must pass 11 online tests.

Assessment practices and criteria

Online tests will assess your knowledge and understanding of the statistical methods and how to implement them in R. Practice questions are also available for every topic, to provide an extra resource for applying knowledge to questions.

All 11 online tests are weighted equally.

Activities and methods in support of learning

Online slides, videos, external material, student discussion space, practice questions

Target groups

The course is open to any MSc of PhD student, including from the Open University.

Schedule

The period is open.

Recommended time or stage of studies for completion

Recommended for completion in the first year of Ecology, Evolutionary Biology and Biodiversity conservation Master's Programme

Expiry of studies

The course expires in 10 years

Language of instruction

English

Course EQF level

Second-cycle degree, EQF level 7