Course Code: ANL304
Synopsis
ANL304 Foundations of Data Analytics introduces students to the use of data analytics for discovering actionable insights and solving business problems. Students will develop practical skills in data preparation and in constructing, interpreting, and evaluating analytical models. The course emphasises hands-on applications using Python. Students with no prior programming experience are strongly encouraged to complete ANL252 Python for Data Analytics before enrolling in this course.
Level: 3
Credit Units: 5
Presentation Pattern: EVERY REGULAR SEMESTER
Topics
- Introduction to data mining
- Types of data mining
- Data mining in Google Colab
- Data exploration
- Data preparation – Data cleaning
- Data preparation – Data transformation
- Introduction to association rule mining
- Introduction to cluster analysis
- Introduction to predictive modelling
- Model construction
- Model evaluation and result interpretation
- Cross-industry standard process for data mining
Learning Outcome
- Discuss various aspects of formulating data analytics solutions
- Appraise the application of data analytics in a given context
- Recommend appropriate analytics solutions in a given context
- Construct analytics models/results, including the use of AI-assisted approaches, as part of solutions to address business problems
- Evaluate the performance of analytics models
- Analyse the results or outputs of analytics models