SIT112 - Data Science Concepts

Year:

2022 unit information

Enrolment modes: Trimester 1: Burwood (Melbourne), Waurn Ponds (Geelong), Cloud (online)
Credit point(s): 1
EFTSL value: 0.125
Prerequisite:

Nil

Corequisite:

Nil

Incompatible with:

SIT114

Study commitment

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus

1 x 2 hour online class per week, 1 x 2 hour workshop per week, weekly drop-in sessions.

Scheduled learning activities - cloud (online)

Online independent and collaborative learning including optional scheduled activities as detailed in the unit site.

Content

Data science is an emerging field and data scientists must be able to know how to make sense of data. In SIT112, students will develop knowledge of fundamentals in data science, in particular data manipulation and algorithms for analytics. The unit will also cover the practice of data science including ethical and responsible behaviour when crawling, cleaning, analysing, representing and repurposing the data. Students will be able to obtain data, recognise data formats, summarise and visualise relationships in the data, perform exploratory data analysis tasks and build predictive models.

Unit Fee Information

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