Data Management and Visualisation with R
|Social Research Association|
Dr Alexandru Cernat
Online using Zoom
Important: you will need some familiarity with quantitative data, and an understanding of variables, datasets, and re-coding. A basic knowledge of R is also a highly recommended.
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 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 course participants will:
Alexandru Cernat is a senior 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.
Advanced (specialised prior knowledge)
£220.00 (Members of SRA pay £165)
Website and registration
Data Quality and Data Management , Quantitative Data Handling and Data Analysis, Quantitative Software, R Software
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