Get involved with Computing Science Scotland Week 2023!
Explore the Global Goals using Scratch and share with us on twitter #CSscot23 or/and share to our Scratch Studio (if you have a Scratch account)
Sustainability Challenge slides
ELC / early level learner’s Sustainability Challenge
BBC micro:bit – the next gen, is a new partnership between BBC Education, The Micro:bit Educational Foundation and Nominet. The partnership will donate a set of 30 micro:bits to every primary school across the UK!
The campaign aims to empower primary learners with the digital skills to understand the world around them and shape their futures.
Register for your school set here: http://www.bbc.co.uk/microbit
The campaign aims to empower primary school children aged 8 to 11 with the digital skills to understand the world around them and shape their futures.
Teachers will be supported by teacher training and a suite of cross curricular teaching resources alongside an array of inspiring classroom activities to get children coding.
This is an amazing opportunity for secondary school students around the UK to find out what it means to work in tech and hear from women studying or working in the industry in Scotland. Hosted by Next Tech Girls
“We hope to encourage the students to pursue studies and careers in tech too. They don’t need to be studying Computing/Computer Science now to join the event.
Students won’t need access to computers, just a screen they can all see with the video call on it. They might want paper and pens.
The women speaking at the event will include a Software Developer at Barclays and Computing undergraduate at the University of Glasgow. We will share more information nearer the time.”
Join Education Scotland for a short session exploring Artificial Intelligence. This session is suitable for educators in Scotland. In this session we will explore…
Source files for This Is Data session 2
Source files for This Is Data session 2
This Is Data
You may have seen spreadsheet dashboards that react to use interactions, automatically filtering and updating charts and tables. Ever wondered how to do it? This short course will support you to develop you skills to store and process data using tools you already use.
These sessions will show you how to use tables, slicers, pivot tables and charts to bring your data to life. You will be able to use these skills to look at your own data and / or share these skills with pupils as part of their learning.
Sign up here for some or all of the sessions below
Session 1 – Monday 13th March 4pm
Preparing data for analysis – the importance of structuring data in tables, using slicers to filter data, conditional formatting, data validation, custom views and useful formulae
Session 2 – Monday 20th March 4pm
Creating Visual Interactive Dashboards – using your data to create pivot tables and visualisations then bring them together into a single user dashboard
Session 3 – Monday 27th March 4pm
Linking Data – how to link tables and visualise results that draw from more than one data source.
This Is Data
You may have seen spreadsheet dashboards that react to use interactions, automatically filtering and updating charts and tables. Ever wondered how to do it? This short course will support you to develop you skills to store and process data using tools you already use.
These sessions will show you how to use tables, slicers, pivot tables and charts to bring your data to life. You will be able to use these skills to look at your own data and / or share these skills with pupils as part of their learning.
Sign up here for some or all of the sessions below
Session 1 – Monday 13th March 4pm
Preparing data for analysis – the importance of structuring data in tables, using slicers to filter data, conditional formatting, data validation, custom views and useful formulae
Session 2 – Monday 20th March 4pm
Creating Visual Interactive Dashboards – using your data to create pivot tables and visualisations then bring them together into a single user dashboard
Session 3 – Monday 27th March 4pm
Linking Data – how to link tables and visualise results that draw from more than one data source.
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