Training and Events
Introduction to R for Social Researchers
|Social Research Association|
Dr Alexandru Cernat
Online via Zoom
This live online course explores how to use R, the popular free statistical software, to prepare, explore and visualise survey data. (Foundation level) This course uses Zoom software.
In this course you will be introduced to the use of R and will learn how to prepare and visualize data. We will focus on the use of the ‘Tidyverse’ package. Inspired by the concept of “tidy data” this package enables users to import, merge, recode, restructure and visualize data very efficiently.
Half of the course will focus on how to efficiently transform variables and prepare them for analysis while the other half will focus on data exploration (such as tables and correlations) and visualization. The course will combine presentations of the key concepts, hands on practical sessions and discussions of the solutions. In the practical part we will be using real world data to prepare the participants for working with their own data.
By the end of the workshop participants will:
During the course we will cover:
People who want to learn how to work with quantitative data but have little or no experience.
People with more experience with quantitative data but want to transition from a different statistical software to R.
Alexandru Cernat is a lecturer in social statistics at the University of Manchester since 2016. He received a PhD in survey methodology from the University of Essex and was a post-doc at the National Centre for Research Methods.
His expertise covers: latent variable modelling, non-response, new forms of data, longitudinal data design, longitudinal analysis.
He has taught from multiple organizations such as the National Centre for Research Methods, European Survey Research Association, International Program in Data Science and the African Institute of Mathematical science.
Entry (no or almost no prior knowledge)
£220. Members of SRA pay £165
Website and registration
Quantitative Data Handling and Data Analysis
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