Welcome to the start of our 360Giving data journey!
The data journey is a programme designed to help you learn how to use data to support decision making. Over the eight weeks, we will learn the basics of data and data analysis, including asking questions, finding, analysing and visualising data, and presenting stories so people can take action. The first workshop will give you a grounding and a chance to meet your fellow participants. Our workshops are interactive, you’ll be “learning by doing”, so expect to roll up your sleeves and get involved.
Here you’ll find resources that we’ll use through the day. If you couldn’t join us, this is the perfect way to catch up or follow along.
This post will be updated throughout the day on 31 May 2018.
10:00 Introductions // Housekeeping
10:30 The Basics 1 // What is data?
11:45 The Basics 2 // What is data analysis?
14:00 Asking Good Questions
16:30 Review & Reflect // Homework
Tweet, instagram or share on Facebook during the day! You can use the hashtag #DataJourney and tag 360Giving.
Remember! Please respect everyone’s privacy. Don’t take / share pictures and videos of people without their consent.
Have you read the 360Giving Code of Conduct?
5 tips for a successful data journey
Before we kick off, here are 5 tips to help you get the most out of our data journey:
- Be curious - Ask questions and check your assumptions
- Be meticulous - Make notes as you go along
- Be reflective - Take time to review your notes and consider your learning and findings along the way
- Be analytical - Break things down into their component parts
- See the big picture - Pull back and check your progress against your question and your aims
The Basics - What is data?
In this section, we cover the basics of data. You can follow along by reading the:
The Basics Part 1
- The Basics 1 - A gentle introduction to data
- Build a data sculpture worksheet: US Icecream consumption courtesy of databasic.io
- Types of data worksheet
The Basics Part 2
Our Data Journey Questions
Introduction to 360Giving
Find the data to support your question. Here’s a handout to help:
For next week: Resources for check in #1
- Data expeditions
- Data Expeditions at MozFest
- Data Expeditions - New Things Tried
- Data Pipeline Methodology
We used tools and resources from the Data Culture Project including:
Designing this workshop was vastly improved by: