Methodology and Statistics support
- Study phase:
- Bachelor, Master, Premaster
- Study method:
- Individually
- Time investment:
- Several sessions
- Language:
- English
- Costs:
- Free of charge
The department of Methods & Statistics from the Faculty of Social Sciences provides additional support in the area of methods and statistics in a variety of ways.
Methodology and Statistics are an important part of your degree programme. Are you encountering difficulties in this area in your thesis, or do you need extra tutoring for methodology and statistics courses in your degree programme?The Methodology & Statistics department supports students of the Faculty of Social and Behavioural Sciences to refresh or increase their knowledge and understanding of methodological and statistical techniques, where necessary.
In addition to the regular educational program, the department of Methods & Statistics offers additional support for students of the Social Sciences faculty.
Designing your thesis proposal
In this course you will be working towards a solid proposal for your own research through assignments.
Grasple (UU Campus Course)
Study basic concepts and get started with online exercises on statistics, probability and research methods.
Introduction to R & Data
R is a powerful scripting language for data handling, data visualization, and statistics. In this workshop, we aim to give you the tools to start exploring R.
Online training course 'information literacy skills' Compass
The online training course 'Information literacy skills' helps you to better find, evaluate and process scientific literature.
Online training course Compass+: Historical Sources
With the module Compass+: Historical sources you will learn to search for historical sources.
Online training course Compass+: Systematically searching for literature
The online training course Compass+: Systematically searching for literature shows youhow to execute a systematic database search.
Quick start to Research Data Management
This workshop includes an insight into all aspects of research data management: FAIR data, data collection, data documentation, data storage, data security, data selection and preservation, and data availability for reuse.
Walk-in hours research data & software
Struggling with your research data? Wondering what to do with the large amount of data you have collected until now? Are you looking for a suitable digital technology to apply in your research project? Or are you curious about what you can do to make your data and software more FAIR or even open?
Writing tutoring
These individual sessions will help you to improve your writing skills.
