Course overview
In the course, students will explore the dynamic field of collecting, analysing, and integrating data from diverse sources, including GPS, sensors, and Internet of Things (IoT) devices.
Students will engage in practical, hands-on projects and real-world case studies to master sophisticated techniques for data integration and real-time processing. By synthesising and applying advanced data analysis tools, students will address challenges related to data heterogeneity and develop innovative solutions for industry-specific problems.
Upon completion, students will have the expertise to design and implement comprehensive data-driven strategies, demonstrating their ability to drive innovation across various sectors.
- Introduction To Multi-Source Data Analytics
- Data Integration Techniques
- Real-Time Data Processing And Analytics
Course learning outcomes
- Analyse and integrate the fundamentals of IoT and the IoT data analytics lifecycle to design innovative data-driven solutions
- Develop and implement advanced techniques for integrating and preprocessing multi-source data, addressing complex data heterogeneity and quality challenges
- Apply and adapt advanced data wrangling and analysis techniques to develop innovative solutions for multi-source data challenges
- Design and implement comprehensive IoT data pipelines and develop advanced analytical solutions for real-world scenarios, demonstrating the ability to create effective solutions
Availability
Class details
Adelaide City Campus East
Group 1
Class number 59141
Section PR02
Size 40
Available 29
Class number 59142
Section PR01
Size 40
Available 29
Class number 59137
Section FR01
Size 180
Available 158
Fee calculator
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