Data Analysis (BUSA90061)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
Availability | March |
---|---|
Fees | Look up fees |
Contemporary business is awash in data. Modern businesses’ business processes and activities usually involve multiple streams of data from areas as diverse as marketing activities, operational processes and financial activities. Therefore, managers are frequently confronted with how to harness these to understand their business better, so that they can make more informed decisions. Data analysis is the process of converting such raw data into meaningful information to inform business decision-making.
This subject provides an introduction to the fundamental data analysis skills and techniques that are used in contemporary business and management. These skills are essential both for later MBA subjects, and also for solving managerial problems in your later career. The course is computer based and students are required to perform all manipulations and computations themselves.
Intended learning outcomes
On completion of this subject, students should be able to apply quantitative methods in management decision making processes. Specifically they should be able to:
- find probablities for normal distributions
- compute a confidence interval for a mean, proportion and the difference between two means
- conduct a hypothesis test for a mean or a proportion
- identify possible errors or biases in sampling
- compute the correlations between variables
- use Excel to run a regression analysis
- interpret the output of a regression analysis and evaluate the validity and usefulness of a regression model in the context of the business issues that are being analysed
Last updated: 8 November 2024