Data Mining (4CR)- Online Facilitation

Category: Education Location: BAA5044-Data Mining (4CR) As an experienced online educator (LINC Fellow), the candidate will work as an independent contractor of LINC and serve a diverse international student body for Master of Business Analytics programs studying at premier Australian and Asian universities. The candidate must possess strong knowledge of data mining and applied data analytics, with expertise in analysing business problems, preparing and transforming data, and developing models to extract meaningful patterns and insights. They should be able to support students in applying supervised and unsupervised learning techniques to real-world datasets, including classification, regression, clustering, and association rule mining, while demonstrating appropriate model validation and data quality practices for effective knowledge discovery and business decision-making. Key Skills Required Data mining processes and applications Data pre-processing, cleaning, and quality assessment Data analysis and knowledge discovery Supervised learning techniques Classification and regression Model development and validation Unsupervised learning techniques Clustering and pattern recognition Association rule mining Practical application of data mining to real-world business problems Critical thinking and analytical problem-solving Ability to work with real-world datasets and derive actionable insights Ability to support Master of Business Analytics-level assessments and practical projec