This paper further develops students' data analytics mindset and builds competencies in quantitative analysis techniques. It focuses on data wrangling, explorations, visualisation and machine learning techniques. Students will utilise R to visualise data, detect trends and patterns, and make data-informed inferences and predictions.

Teaching Periods and Locations


27B (HAM) Paper outline	B Trimester : 12 Jul 2027 - 07 Nov 2027	Hamilton		100% internal assessment

If your paper outline is not linked below, try the previous year's version of this paper.

Timetabled lectures

This paper has no scheduled lectures - check for other activities in the online timetable for this paper.

Indicative Fees

Domestic

International

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

You will be sent an enrolment agreement which will confirm your fees. Tuition fees shown are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Available subjects

Business Analytics

Additional information

Subject regulations

BUSAN302