Tutorials

We run a series of data science tutorials that complement our Data Projects from Go to Whoa! guide for not-for-profit organisations.

Registrations are $48 (incl. GST) per 90-min session, or free for tenants at Our Community House.

Open the tabs below for tutorial descriptions and registration details.

What’s “data science” about? How can it multiply impact?

Tutorial 1 dives into these questions and more. This tutorial explores the rapidly evolving term “data science” (including how a modern data-savvy team operates), outlines different sources and uses of data in typical non-profit settings, and introduces two case studies.

Designed with a practical, next-steps focus, the class material builds toward an exercise to begin evaluating your own organisation’s data capability. It also embeds opportunities to discuss your data experiences with peers in your sector.

This tutorial was last held on Monday September 28.

Now that you’ve considered your organisation’s data readiness, you’re ready to start scoping questions for a data project.

Perhaps you have questions about your fundraising, gaps in your services or how to gather more accurate information about the people you serve — but how can these be framed in such a way that they can be effectively answered by data?

Tutorial 2 will contain lively debate about the best approach to interrogating data and exercises to start asking the right questions.

This tutorial was last held on Monday October 26.

When it’s time for you to make your data project a reality, Tutorial 3 will take you through our project brief template step-by-step so you can stay focused on the questions unique to your organisation’s needs. Questions like: What are your aims for the data project? How are you going to achieve those aims and in what timeframe?

At this stage we’ll also encourage you to think about your data projects with co-design principles in mind to ensure all relevant stakeholders are considered. We will also discuss how you can work to centre racial and gender equity throughout.

This tutorial was last held on Monday November 9.

In Tutorial 4, 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.

This tutorial was last held on Monday November 23.