The Practicalities of Data Analytics: The Basic Quantitative Skill Set for Effective Analysis

Courses designed to put theory into practice

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Three days

Effective data analytics is underpinned by a statistical skill set that encourages insight and contributes to good decision making. Whilst such decision making requires judgement and political awareness, there is also a need to have good quantitative skills to build an evidence base.

In most, if not all industries, there are considerable opportunities to use data analytics in redefining competitive offers, re-configuring processes and even developing whole new business models. Insight driven decisions can have both immediate and long term effects upon business profits and competitive position.

What is it?

This is a three-day programme running on consecutive days. The programme aims to help delegates review and upgrade their analytical skills within a business context.

Who should attend?

This course is for analysts and others who make an input into decision making. In particular it will appeal to those who recognise the importance of data analytics but feel their quantitative skills need to be improved before they can make an effective contribution within their organisation.

What are the benefits?

By the end of the programme delegates will have:

  • An understanding of key statistical concepts which underpin data analytics
  • Undertaken data analysis using these statistical concepts in real business examples
  • Reflected on their use and application in the search for new business value, better processes and cost effectiveness

Your organisation will benefit from:

  • Confidence in a range of statistical tools and techniques which will underpin the development of data analytics within the organisation
  • An analyst who can now delve deep into the meaning and insights of your business date.


This three day course comprises six sessions, each lasting 1.5 hours. Sessions are delivered through a combination of presentations, activities and discussions. Each session includes practical data analysis and reporting back on results.

Day 1

Session 1: Exploratory data analysis

Session 2: Analysing variation

Day 2

Session 3: Regression analysis 

Session 4: Time-series analysis

Day 3

Session 5: Cluster analysis

Session 6: Forecasting 

The workshop is delivered by Professor Bill Gerrard, Professor of Business and Sports Analytics and Director of BSc Business Analytics. Bill has worked with a number of elite sports teams around the world. In recent times he has acted as technical analyst for Saracens in the Aviva Premiership (rugby union) as well as providing statistical analysis to support the Sky Sports coverage of Super League (rugby league). He has also worked with Billy Beane, the General Manager of the Oakland Athletics in Major League Baseball, whose application of sports analytics has been the subject of the Hollywood film and best-selling book, Moneyball.

Bill's principal research focus is sports analytics defined as the statistical analysis of performance data within an evidence-based coaching regime in both individual and team sports to support decisions on talent identification, player recruitment, athletic development, training priorities, team selection, game tactics and injury management. He has published academic papers on player valuation, managerial efficiency, the sporting and financial performance of football clubs, and the relationship between wage costs and sporting performance.

Contact us

For further information please contact the Executive Education Team.


Tel: +44 (0)113 344 3911