All disciplines

An introduction to R for non-programmers using gapminder data

The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation.

Spanish version available here

Github repository available here

Part of the Introduction to longitudinal studies Module.

The ORION Open Science Train-the-Trainer course is intended to guide you in how to facilitate and run training on Open Science. The course covers the theoretical underpinnings of adult education as well as practical methods and techniques to use in training events. From didactics to video creation, from audience profiles to Brainwalking. There are a range of materials, media, and activities intended to strengthen your abilities as a training facilitator, both face-to-face and online.

This guide covers the basics of sampling as well as other related topics such as clustering, stratification and weighting. 

This guide explains the main reasons for using weights, how weights work and how to use weighting variables in statistical analysis. 

This guide aims to help researchers utilise extensive survey data available. In particular, this guide is designed to support those starting small research projects, especially students doing dissertations. 

The guide includes materials to read, worksheets for getting started and questions to think about and answer.

This guide will cover how to map census data in QGIS. The example used in this guide creates a choropleth map showing the percentage of males who work in the manufacturing service using the QGIS package. 

This guide aims to show the strength of using Census Microdata for a variety of research purposes, via a worked example taken from real-life research. This guide assumes some familiarity with microdata, mapping and statistical software. 

The UK Data Service and the Office for National Statistics (UK) held a business data conference in 2021. This resource provides all slides, recordings and other useful materials from the conference. 

The conference included a mixture of presentations from the  Office for National Statistics  (ONS), UK Data Service, and researchers who have used data from the UK Surveys covering the areas of business, industry and trade. 

This source includes a series of resources in the form of guides and e-books dedicated to trainers and students interested in sample design, weighting, changes over time using cross sectional and longitudinal data and mapping census data using different software.