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Potential Funded Training – Short Courses at Edinburgh Napier

Posted: 22nd July 2021

Data Driven Decision-Making

This is an individual module from MSc Data Science, providing a combination of online learning and independent study aimed at upskilling learners in the subject of data driven decision making. Fully funded places are available to support staff of SMEs, funded by the Scottish Government through Data Skills for Work at The Data Lab.

Contemporary organisations use data to analyse and explore opportunities for growth or change. The demand for business data, whether operational management, data analytics or data science (such as “big data”, machine learning & predictive analytics) has increased substantially. Organisations need a more sophisticated approach to analytics and data from both a business and statistical understanding of data and its impact.This module will enable you to develop a deep understanding of the business context and impact of data, the meaning of the data (including in terms of statistics), and to give you an opportunity to express this in the form of professional written reports.

Topics covered include:

  • The role of the data scientist
  • Data strategy and Key Performance Indicators (KPIs)
  • Deployment and implementation
  • Governance, ethical and cultural implications
  • Exploring and describing data
  • Statistical inference – parametric methods t – tests and Analysis of Variance Statistical presentation of data
  • Multivariate methods – principal component analysis, exploratory factor analysis and segmentation methods (Hierarchical clustering, K means and K modes)
  • Statistical modelling – OLS regression, general linear models exemplified by Binary Logistic models
  • Diagnosing model fits The R package for statistics will be used in this module

Upon completion of this module you will be able to:

  • Critically evaluate the drivers and strategies for advanced analytics and its impact on organisational decision-making
  • Critically assess the roles and impact of ethics, governance and professionals in data analysis
  • Apply methods of data reduction and of classification to data to identify sub-groups
  • Construct and diagnose statistical models to allow prediction of effects and input into strategy development.

How you’ll be taught 

You will be supported by the Global Online team who will provide general overall support, and by the module teams who will provide module-specific online material and discussion forums, using a variety of communication technologies such as Moodle and Skype. You will be encouraged to develop your learning through peer and tutor interaction via electronic communication. Self-study readings, supported by online discussions forum hosted through the VLE, will develop independent learning skills. Formative feedback will be provided via online quizzes. The lecture programme will be enhanced by material from guest speakers and will be made available online. The material for the lab-based practical sessions will be made available online with a support forum.


Read more on the Napier website here:

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