Jargon Busting

Requirements

  • Boards/pads
  • Pens
  • Sticky notes
  • Internet (optional)

Objectives

  • Icebreaker
  • Finding confidence level
  • Explain terms, phrases, and concepts associated with terms, phrases, or ideas around data
  • Compare knowledge of these terms, phrases, and concepts
  • Differentiate between these terms, phrases, and concepts

Task

We will be separating into groups of 4-5 per table.

Part A: 20 minutes

Taking the following set of terms and ideas, work together to explain what each one means (note: use both each other and the internet as a resource!). Try to only spend 2 mins (max) on each and don't worry about covering them all. Make a note of those your group resolves and those you are still struggling with.

Use flipchart paper to write down each term, with thoughts on the definition around each one.

Terms Terms Terms
Dataset Pivot table Data science
Group Formula Average
Algorithm Big data Outlier
Open data Aggregation Anonymisation
Regular expression Data mining Data protection

B: Feedback 10 mins

Report back on a single term discussed by your group. 1 minute each.

We'll go through definitions of each.

Key points

  • It helps to share what you know and don’t know about data and data-science jargon.

Source Material

Library Carpentry Data Intro for Librarians

results matching ""

    No results matching ""