Getting Hands-On with Data Quality (Tutorial 4)

In this tutorial, we’ll cover the dimensions of data quality, the importance of entering good quality data and how to effectively educate staff and volunteers in doing so.

It will include a hands-on exercise to evaluate data quality. It’s designed for social sector workers who are new to data science but who have experience with or responsibility for data.
  • Introduction
  • Getting the most out of this course
  • Dimensions of data quality
  • Making bread
  • The six dimensions
  • Activity 1A
  • Activity 1B
  • Shades of grey
  • Dataset exercise
  • Using spreadsheets
  • Activity 2A
  • Activity 2B
  • Collecting the right data
  • Getting things right
  • Principles of survey design
  • Evidence for outcomes
  • Embedding best practice
  • Summary
  • Review quiz
  • Course feedback
  • Congratulations
Completion rules
  • All units must be completed