Overview
This unit introduces statistical and visualisation techniques for the exploratory analysis of data. It will cover the role of data visualisation in data science and its limitations. Visualisation of qualitative, quantitative, temporal and spatial data will be presented. What makes an effective data visualisation, interactive data visualisation, and creating data … For more content click the Read More button below.
Offerings
MO-TP2-01-ONLINE-MO
S1-01-CLAYTON-ON-CAMPUS
S1-FF-CLAYTON-FLEXIBLE
S2-01-CLAYTON-ON-CAMPUS
Requisites
Prohibition
Rules
Enrolment Rule
Contacts
Chief Examiner(s)
Dr Sarah Goodwin
Professor Kimbal Marriott
Notes
IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.
Monash Online offerings are only available to students enrolled in the Graduate Diploma in Data Science via Monash Online.
Teaching approach
Active learning
Assessment
1 - In-semester assessment
Scheduled and non-scheduled teaching activities
Laboratories
Workshops
Workload requirements
Workload
Availability in areas of study
Advanced data analytics
Data science
Data science