Overview
The public sector holds large volumes of important data, from patient records to local government data like waste collection, procurement, planning applications and social care.
With access to such huge volumes of information, and the right skills and knowledge, you can utilise the data to make more effective decisions and improve service delivery in your organisation.
This Utilise Data to Make Better Decisions training course gives you the necessary tools and skills to identify what data to use to inform a policy recommendation, improve the performance of a project, and streamline outdated processes.
Through interactive workshops, case-studies and the use of laptops, practice data analytics on various public sector datasets using Excel. Learn how to use free and accessible data analytics tools, summarising results to make decisions supported by your data.
Unlocking the Power of Virtual
Our virtual courses have been designed with you in mind. From group exercises in breakout rooms to live chat, whiteboards, and interactive polls, we use a range of tools and techniques to ensure that you can connect with your trainer; network and share best practice with your peers and leave the day with the skills you need.
Our courses provide you with an interactive and engaging learning environment that can be accessed from any location, helping you to continue to connect, learn and grow. Click here to discover more!
Please note we will be using Zoom to deliver this course.

Mark is a trainer in data analysis and visualisation. He runs a small consultancy, Zomalex Limited. Zomalex build reports and dashboards using Power BI. Clients include firms from many sectors; banking, local government, health, public transport, charities and higher education. Mark has received Microsoft’s Most Valuable Professional (MVP) award for the last four years. He has a MA in Natural Sciences from Cambridge and an MBA from Imperial College, London. He is the organiser of London Business Analytics Group, a very popular community meetup group.