Giorgio Di Gessa, Alex Cernat, Andrea Aparicio Castro
This online course is for anyone that needs to prepare longitudinal data for analysis. It will cover the main procedures needed from converting raw longitudinal data to cleaned data that can be readily analysed.
The course will have two sessions, one covering data preparation and the other covering data description and visualization. Both will focus on longitudinal data and real-world data. You can take the module either in R or in Stata, each will have its own videos and practical exercises.
By the end of this course you will be able to:
There will be two sessions, each consisting of a pre-recorded lecture (length varies) and a 1.5-hour live computer practical session in R or Stata.
From Monday 1st March
Pre-recorded lectures available
Longitudinal data preparation
Longitudinal data description and visualisation
Wednesday 8th March
Practical 1 in either Stata or R
Tuesday 9th of March
Practical 2 in either Stata or R
An understanding of quantitative data structures and types of variables.
This is a UKRI funded project offering rigorous training in longitudinal data science. Please note that this training is NOT available to students due to the UKRI grant rules. Therefore, if you are an undergraduate or postgraduate (including PhD), you are not eligible to attend this training. You will be asked for your company email and job title in order to register.