This subject introduces the students to the role of data and data analysis in decision making in organisations, including methods of sourcing, collecting and examining relevant data. Commonly used tools and techniques for data analysis, interpretation and presentation are then introduced, through the practical consideration of authentic data sets using relevant software. The emphasis is on effective communication of the findings. The subjects objective is on the development of a professional with the capacity to access, organise and analyse data in order to effectively make and convey decisions within the contemporary business context.
HD/FL
One session
School of Computing, Mathematics and Engineering
Students who have completed QBM117 may not enrol in QBM100.
STA201 Subject contains approximately 50% overlap of content. Subjects are sufficiently different in content and context to both be studied.
QBM120 Subject contains approximately 50% overlap of content. Subjects are sufficiently different in content and focus to both be studied.
STA401 Subject contains approximately 50% overlap of content. Subjects are sufficiently different in content and context to both be studied.
QBM117 Subject contains approximately 75% overlap of content. Subjects are similar in content and context and so are incompatible.
STA501 Subject contains approximately 50% overlap of content. Subjects are sufficiently different in content and context to both be studied.
QBM117
The following table summarises the assessment tasks for the online offering of QBM100 in Session 3 2021. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).
The information contained in the CSU Handbook was accurate at the date of publication: June 2022. The University reserves the right to vary the information at any time without notice.