Course Overview

Course Title: Data Modelling Techniques for Business
Credit Points: 12
Nominal Hours:
Course Coordinator: Dr Pratima Srivastava
Course Coordinator Phone:
Course Coordinator Email: pratima.srivastava@rmit.edu.au
Course Summary

Data science skills are highly in demand and open the door to career opportunities in a range of industries and occupations. In this course students will learn a range of sophisticated quantitative skills used to analyse microlevel social, financial, business and economic data. The special features of some of these datasets require the use of statistical/econometric techniques that make the application of the standard linear regression model inappropriate. This course will teach students a variety of techniques that can be used to deal with such situations. The skills are applicable in a range of areas including banking and finance, marketing research, health, education, labour market, international trade and policy evaluation, allowing practitioners and decision makers to study the behaviour of individuals, firms and other micro-units, and uncover patterns. They are highly valued in the research environment for those who would like to purse a research career. Students will also gain hands-on experience and computation skills for data mining and analysing large scale micro datasets.

Full Course Information
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