| DAS706 Big data mining, wrangling and analytics | |
| Campus: | Australian Technology Park, Eveleigh, NSW 2015 |
| Units of Credit: | 6 |
| Prerequisite or Corequisite: | Pre-requisite: DAC701 Data analytics and programming, or DAS704 Security of data and systems, or DAD802 Technology, society and ethics Co-requisite: DAC703 Machine learning, or DAD805 Complex data projects |
| EFTSL*: | 0.125 |
| Indicative Contact Hours per Week: | 3 |
| Tuition Fee | See Tuition Fee Schedule |
| Application Date: | See Key Dates |
| Unit Overview: | |
| This unit addresses the advanced concepts of data collection, mining, wrangling, analysis and the synthesis of practical decisions based on those analyses. It allows students to reflect on the best approaches to access and analyse data and the practical applications of big data mining. It utilises computer programming in the analysis of complex data sets and applies data privacy, security, analysis and management theories to large data sets. The unit also examines the organisational, professional, legal and ethical issues associated with data mining and analysis, and allows students to investigate their implications on data mining operations. Specific applications of data wrangling are also evaluated and students will have the opportunity to work in a team to critically analyse real world data and to make recommendations regarding its use, processing and analysis using programming tools within an ethical, legal and professional framework for data management. The programming language used in this course will be Python. | |
*EFTSL = Equivalent full-time study load
