Training and Events
|Cathie Marsh Institute|
Dr Alexandru Cernat
Humanities Bridgeford Street
View in Google Maps (M13 9PL)
Cleaning data is one of the most important and time-consuming aspects of being a data analyst and researcher. Most courses typically teach statistical models or basic use of statistical software but few of these teach students how to efficiently clean real-world data.
This course will tackle this important topic. We will do this by introducing the tidyverse package in R. This is a large package that brings together some of the best tools for data cleaning and visualization in R. Inspired by the concept of “tidy data” the package enables users to import, merge, recode, restructure and plot data very efficiently. Half of the course will focus on data cleaning while the other half will focus on data visualization. The course will combine the use of lectures with hands-on practical sessions. In the practical part, we will be using real-world data to get the students used to the typical challenges they are expected to encounter when working with that. This will also help prepare them for working independently on their own data.
Basic knowledge of R and R-Studio
Intermediate (some prior knowledge)
Website and registration
Quantitative Data Handling and Data Analysis, Quantitative Software, R, Data Visualisation
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