Edinburgh Napier Data Driven Decision Making
CeeD member, Edinburgh Napier University has a number of fully funded places available on the university's Data Driven Decision Making module, which is part of its Data Science MSc.
"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
This course starts in September 2021 and is part of the University's online MSc programme (aimed at those in work). The course is fully funded by The Data Lab and is aimed at SME organisations looking to upskill in Data subjects.
If you, or a colleague, are interested in this course, please contact or refer them to Matt Burdge: m.burdge@napier.ac.uk