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|Enrolment modes:||Trimester 1 2014 (B/E, S/X)|
Trimester 3 2014 (B/E, S/X)
|Previously coded as:|
D De Silva (Trimester 1), L Dharmasena (Trimester 3)
|Contact hours:||1 x 2 hour class, 1 x 1 hour laboratory per week|
You will need to access substantial learning resources and experiences in CloudDeakin (Deakin’s online learning environment). Compliance with the Standards in computing, connectivity and student capability are a condition on your enrolment.
This unit focuses on the techniques and approaches to analysing business data to support decision making. It covers exploratory data analysis, visualisation of data and evidence based decision making. The unit aims to give students a broad understanding of statistical approaches used to support business decisions, their limitations, typical application areas, managerial reporting of statistical results and incorporating insights into the business decision-making process. Extensive use is made of software to develop data visualisation and analysis skills and to enhance the appreciation of various techniques studied. The unit assumes students have already completed foundational study in statistics at undergraduate level and have some familiarity with basic statistical concepts and inferential techniques. In particular, understanding of descriptive statistics and structure of probability is necessary.
Assessment 1 (Group of up to 3 students or individual) - Data Visualisation and analysis (1000 words) -20% and oral presentations - 20%
Assessment 2 (Individual) - Online Test - 20%
Assessment 3 (Individual) - Advanced data analysis report; 2000 characters across 46 lines of text, inclusive of spaces and an unspecified appendix - 40%
Unit Fee Information
|Student Contribution Rate*||Student Contribution Rate**||Fee rate - Domestic Students||Fee rate - International students|
* Rate for all CSP students, except for those who commenced Education and Nursing units pre 2010
** Rate for CSP students who commenced Education and Nursing units pre 2010
Please note: Unit fees listed do not apply to Deakin Prime students.