BUS301 Lecture Notes - Lecture 1: Business Analytics, Risk Management, Treemapping
Document Summary
This course aims to develop intermediate business analytics skills within a contemporary business intelligence platform. It covers data analytics in a real world software environment, involving business intelligence decision making and data visualisation techniques, data preparation and data quality, validity and reliability, multivariate statistical techniques, exception analysis, dashboard development, and industry business analytics applications. On successful completion of this course you should be able to: Understand principles of business analytics as they apply to real world businesses in quality decision making, visualisation and analysis. Apply statistically based visualisation and decision making tools (spss and. Determining and implementing principles for ensuring data visualisation and quality decision making. You will be assessed on the learning outcome in task/s: Completing these tasks successfully will contribute to you becoming: Refer to the coursework programs and awards - academic policy for definitions of pre-requisites, co- requisites and anti-requisites . Standard high distinction (hd), distinction (dn), credit (cr), pass (ps), fail (fl)
