Analyses Toolbox

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    Analyses Toolbox

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Computer Science, Information Studies

  • Language Level

    Taught In English

  • Course Level Recommendations


    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • ECTS Credits

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    The open-source programming language and environment R is quickly becoming the working language for data analysis and visualization in the social and other sciences. In this course, the student will learn how to use this freely available software.

    The course provides a general introduction into data handling, data visualization, statistical analysis, and programming in R. This introduction is supported by lectures, practicals and self-study assignments. In addition, application showcases will be provided in the form of self-study assignments. These showcases illustrate how to apply R during all phases of a research project and in a context relevant to the students. In particular, the student will learn how to apply R for magnetic resonance imaging tissue classification, and for genome-wide association studies.

    Interactive lectures and practicals.

    The grade will be based on a written exam which contains both open ended and multiple choice questions, and an presentation based on analysis in R.

Course Disclaimer

Courses and course hours of instruction are subject to change.

Some courses may require additional fees.


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