Learning resources

This section links to training and self-led learning resources, which relate to sections of the guidance.

Many of these learning resources point to the UK Statistics Authority Learning Hub. Government analysts can request an account for the hub via gss.capability@ons.gov.uk.

Please note that learning resources from non-government training providers (i.e. not accessed through the Hub) may not always follow best practice. However, exposure to a range of applied examples will still benefit your learning. You should compare and contrast your learning to the good practices outlined in the guidance.

Core programming

Python

• Introduction to Python

• Aggregation, functions and control flow in Python

• Introduction to object-oriented programming (OOP) in Python

• The Official Python Getting Started Guide

• Learn Python, supported by DataCamp

R

• Introduction to R

• Aggregation, functions and control flow in R

• R Basics on Udemy

General

• Clean code

• Packaging and documentation

• Software carpentry

• Data carpentry

Data manipulation

Python

• Dataframes, manipulation and cleaning in Python

• Python Data Science Handbook

• Python for Data Analysis

R

• Dataframes, manipulation and cleaning in R

• R for Data Science

• Advanced R

SQL

• Foundations of SQL

• w3schools.com SQL Tutorial

• Python SQL libraries

• SQL databases and R

Command line tools

General

• Windows and UNIX Command Line Basics

• Learn enough (UNIX) command line to be dangerous

• The UNIX workbench

Git

• Intro to Git

• Introduction to continous integration

• The Pro Git book

• Software Carpentry: Version Control with Git - an applied project

• Interactive online training with Katacoda or Learn Git Branching

• GitHub’s Git Cheatsheet

• GitHub Git Handbook

• Atlassian’s Learn Git

Testing

• Introduction to Unit Testing in Python and R

Making software accessible

• A11Y Project software, books and tools

Reproducible Analytical Pipelines

• GSS RAP Overview

• The cross government RAP Champion Network

• ONS Data Science Campus RAP learning materials