The term Open Data is generally understood to be data that are made available to the public free of charge, without registration or restrictive licenses, for any purpose whatsoever (including commercial purposes), in electronic, machine-readable formats that ensure data are easy to find, download and use.
Data reuse, both by data experts and the public at large, is key to creating new opportunities and benefits from government data.
The purpose of this syllabus in Data Wrangling and Validation for Open Data is to guide learners to confidence in delivering technically open data: well-structured, machine-readable data, validated to a defined and standard metadata schema.
The syllabus is available in French and English. Module 1 is for users of Excel. Module 2 and 3 is for Python users. No knowledge of coding in Python is assumed, and the course is aimed at beginners to open data, data wrangling, and coding.