Course details
Key data skills for everyone
This 8-week course will help the staff in your nonprofit gain a new confidence in working with data, while building the skills to challenge and improve existing practice. Based on the databasic.io workshops originally developed by a team from MIT.
About the course
For an organisation to get better at using data, everyone in the organisation needs to be confident in collecting and interpreting data.
Some people need specific skills in data analysis or data processing.
This course is not for those people. It is for people who work in the organisation but not in specific data roles. It introduces key concepts around data collection, data analysis and data storytelling in an accessible and enjoyable way.
It is delivered in bite-sized chunks. Each one hour workshop covers one topic by inviting participants to write a duet or create a data game. It is about participating in fun activities and reflecting on what you have learned.
Programme details
Over the course participants will explore, understand and be confident discussing:
Data collection and categorization and how power dynamics and societal framing affect these.
Data exploration. Examining datasets to see what questions arise from the data and how these can be answered from further datasets.
Data storytelling. How to critically evaluate a data visualization and understand what it is seeking to communicate. Different ways in which data stories can be told and the stregnths and weaknesses of different approaches.
Text analysis. Different ways in which text files can be analysed and the consequences of picking different approaches. The implications of text analysis on aspects of AI.
Social network analysis. Different ways in which social networks can be analysed and the implications of this analysis to how social networking platforms function.
How it's delivered
The course is delivered online using Teams. Sessions take place over 8 weeks with each session lasting one hour.
Participants work in small groups for much of the session, recording discussions in shared documents and reporting back to the full group at the end of the sessions.
The course is based on the databasic.io workshops developed by a team from MIT.
Who the course is for
The course is appropriate for staff in all roles at all levels within a nonprofit organisation. In particular; those who are required to have conversations about data, collect and input data or read reports, view dashboards or are required to act on the basis of data but are not data specialists.
What they will get out of it
A new confidence working with data. A better understanding of data in the organisation and the skills to challenge and improve existing practice and to interpret data that is presented to them.
Participants will be able to have better conversations about data within the organisation.
Cost
From £2,750 for a cohort of up to 15 people. Talk to us about options to tailor the course to your particular requirements.
Why choose Data Orchard?
Data Orchard CIC has a deep understanding of how data is currently being used in the nonprofit sector. We have been pioneering research on data maturity since 2015 and developed the UK’s first data maturity framework for the not for profit sector. We also have a good understanding of the challenges faced by nonprofit sector organisations where resources are tight and need to be deployed carefully.
The training will be delivered by one of our team of data specialists, who have wide experience in designing training courses and curriculums, and delivering effective training across many sectors, including charities, social enterprises, housing and public sector organisations.
In brief
Fun and engaging delivering
From £2,750 per course
Up to 15 people in a cohort
Convenient online delivery (ask us for an in-person quote)
Promote data fluency across your organisation
Book inhouse training
This course is an in-house training package for all staff in all roles in your organisation. From £2,750 per course. Or talk to us about developing a tailored programme.