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Data analytics is becoming an increasingly important part of contemporary decision-making and strategic analysis. This is equally true in both public and private sector organizations. Sound knowledge of the basic statistical approaches to summarize and analyse data are becoming an important set of managerial skills.
This course is an introductory course on the basics of data analysis and analytics. These include basic data management, methods to summarize data effectively, and regression modelling and analysis. An emphasis will be placed on how such analyses can help guide effective decision-making. The course will also involve a significant amount of hands-on data analysis using the public domain software “R”, and one of the aims of the course is introduce participants to this leading software environment. Participants will have to employ the methods and models covered in the course to solve problems in cases drawn from the contemporary business and public policy environment, and recommend appropriate decisions.
The course also serves as a preparatory course for the further study of more advanced models and methods for data analysis and analytical decision-making.
Intended learning outcomes
On completion of this subject, students should be able to demonstrate;
- An understanding of different types of quantitative data
- An understanding of how to summarise the empirical distribution of data, and create simple visualisations.
- A regression analysis, and draw meaningful inference from the results
- A basic statistical analysis to solve decisions in complex strategic scenarios
- The use the software platform R to undertake basic statistical analysis.
Last updated: 2 December 2019