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Data Analysis in R (VU Amsterdam Summer School)

Vrije Universiteit Amsterdam

Certificate / Diploma Summer course Amsterdam

Course description

Qualification Certificate
Field of study Mathematics, natural sciences and computer science
Course summary Thorough introduction to various R software packages, linear regression, and variable analysis. Practical training in writing functions, data presentation, and multi-item scales.
Course description With the increasing use of alternative software packages like R in data analysis, now is the time to learn their ins and outs. This course focuses on understanding statistical models and analysing the results whilst learning to work with R. In addition to introducing the software to newcomers, it presents basic and more advanced statistics using an overarching framework of generalized linear modelling. We start with descriptive statistics before moving on to basic tests and simple regression. Students also learn how to analyse the multi-item scales which are often applied in survey research using exploratory and confirmatory factor analysis. We then introduce the generalized linear framework to analyse non-normally distributed variables and, lastly, multi-level modelling. Students will work with R, conducting exercises that teach them how to analyse multi-item scales, analyse relationships among binary and interval variables, and apply generalized linear regression models. At the end of the two weeks students will be acquainted with various popular R packages, be able to write their own functions, and use attractive plots to present their data. No programming experience required.
Study subjects -
Course objectives -
ECTS credits 3.00
Duration 2 week(s)
full-time
Language of instruction English
Instruction modes excursion, group discussion, lecture, individual assignment, literature study, self study
Accreditation -

About the institution

Department -
Information about the institution Ever since it was founded in 1880, Vrije Universiteit Amsterdam has been known for its distinctive approach to knowledge. VU is an open organization, strongly linked to people and society.

Admission

Admission requirements
Language requirements
Professional experience required -
Duration 2 week(s)
full-time
Application deadlines
Start date EU/EEA Students Non-EU/EEA students
6 Jul 2019 1 May 2019 -
20 Jul 2019 1 May 2019 -
Tuition fees
Year EU/EEA Non-EU/EEA Institutional
2019 (FT)€ 1150€ 1150€ 1150

In short, the following rules apply:

  • The “EU/EEA rate” is the regular fee for students from within the EU/EEA.
  • The “non-EU/EEA rate” is the rate for students from outside the EU/EEA.
  • The “institutional rate” is for all students who have already obtained a bachelor’s or master’s degree and who want to start a second programme leading to a degree at the same level or at a lower level.
  • Note that FT, PT and D stand for "full-time", "part-time" and "dual", respectively.

Make sure you contact your institution to find out what rate applies to you. The rates listed here are estimates.

Scholarships

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For more scholarships, visit: www.grantfinder.nl

Course website More information about the course

Contact

Contact information for the study programme
Contact information for the institution

studievoorlichting

study info

contact@vu.nl

Telephone number +31(0)205986429
Course website More information about the course
Institution website More information about the institution