Overview
NOTE: This course was previously identified as MBAX9234.
Evidence-based decision-making supported by a data-driven culture is essential to the management of organisations. It is therefore essential that professionals are able to define problems clearly and systematically, know what techniques can be applied in order to solve these problems, and communicate … For more content click the Read More button below.
The first step in the process of data analysis and decision-making is to frame business problems in a quantitative matter and learn how data collection and experimentation can help provide the right insights.
As the second step, you will learn how to solve problems through predictive models. This requires a basic understanding of statistics and therefore you study the basics of regression provided by the Harvard Quantitative Methods online course during the first weeks of the course. This will help improve your data literacy in order to communicate more effectively with data scientists as well as contribute to the democratisation of data within your business.
Finally, you will learn the basics of using Tableau and Python, two of the visualisation and data analytics tools in the field. Through data storytelling, you will learn to communicate data more effectively and improve your ability to simplify problems and facilitate decision-making.
With these three steps, this course will enable you to make quicker, better and more intelligent decisions and allow you to create value in the broadest sense within your business.
Conditions for Enrolment
Prerequisite: Must be enrolled in one of the following programs: Management (7316), Digital Innovation (7415), Technology Management (7418); MBAE (8355 or 8356); MBAX (8625); LLM/MBA(Law) (9225)
Delivery
In-person - Intensive
Fully online - Standard (usually weekly or fortnightly)
Multimodal -
In-person - Standard (usually weekly or fortnightly)
Course Outline
To access course outline please visit below link (Please note that access to UNSW Canberra course outlines requires VPN):
Fees
Type | Amount |
---|---|
Commonwealth Supported Students (if applicable) | $1893 |
Domestic Students | $5190 |
International Students | $5190 |
Pre-2019 Handbook Editions
Access past handbook editions (2018 and prior)