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Overview

The public sector holds large volumes of data, from patient records to local government data. Access to such huge volumes of information, gives your organisation an excellent opportunity to utilise data to make more effective decisions, improve service delivery and enhance efficiency.

Data analytics is also a cost-effective method to make sense of your organisation’s data, which can help drive performance and productivity.

This public sector tailored Effective Data Analytics course, gives you the necessary training in data analytics.

Through interactive workshops and the use of laptops, you will have an opportunity to practice data analytics on various public sector datasets. You will also learn how to use free and accessible data analytics tools like Power BI DesktopCustom Vision Service and R, a programming language.

NB: Delegates who attend the day will be asked to bring their own laptops. 

trainer photo
Mark Wilcock
Data Analysis and Visualisation Expert

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.

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Learning Outcomes

  • Establish what data analytics is and what it means for your organisation
  • Ascertain what data to use to aid your analytics
  • Learn the best methods to analyse data
  • Examine real-life public sector datasets,  from Scottish councils to the Scottish Government
  • Use predictive analytics to improve decision making
All the Understanding ModernGov courses are Continuing Professional Development (CPD) certified, with signed certificates available upon request for event.

Enquire About In-House Training

To speak to someone about a bespoke training programme, please contact us:
0800 542 9414
[email protected]

Agenda

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09:15 - 09:45

Registration

09:45 - 10:00

Trainer’s Welcome and Clarification of Learning Objectives

10:00 - 11:00

Workshop I: What is Data Analytics?

In this interactive session, delegates will examine what data analytics is and what it means for their organisation.

  • De-mystify data analytics
  • Map data analytics with the trainer and peers
  • Examine ways data analytics can be used in the public sector
  • Examine best practice case studies
11:00 - 11:15

Morning Break

11:15 - 12:00

Workshop II: Identify What Data to Use

Assess what data to use when using data analytics. 

  • Identify what datasets to use
  • Ascertain what the dataset should include
  • Gain the confidence to use your data
  • Ensure the integrity of the data
12:00 - 13:00

Workshop III: Analysing Public Sector Datasets

In this interactive workshop, delegates will work in groups to learn the best methods to analyse data.

  • Learn the best methods and techniques to analyse data
  • Understand common data quality issues and learn how to deal with bad and missing data
  • Understand how to measure your datasets
  • Examine real-life public sector datasets
  • Ascertain what your data is telling you
  • Find useful insights from your data
  • Easy tips on how to navigate through a bank of numbers – like shares, indices, ROI calculations
13:00 - 14:00

Lunch

14:00 - 16:00

Workshop IV: Using Data Analytics to Improve a Service

In this practical workshop session, delegates will learn how to utilise data analytics to improve a serve and decision making.

  • Identify your key service delivery objectives
  • In groups, you will use laptops to use data to improve a service and decision making
  • Learn how to use free and available data analytical tools
  • Use predictive analysis to improve decision making

Venue

Radisson Blu Hotel – Edinburgh

Radisson Blu Hotel, 80 High St The Royal Mile, Edinburgh, EH1 1TH