SIT112 - Data Science Concepts
Unit details
Year: | 2019 unit information |
---|---|
Enrolment modes: | Trimester 1: Burwood (Melbourne), Online |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Trimester 1 Unit Chair: | Sergiy Shelyag |
Prerequisite: | Nil |
Corequisite: | Nil |
Incompatible with: | SIT199 |
Scheduled learning activities - campus: | 1 x 2 hour class per week, 1 x 2 hour practical per week. |
Scheduled learning activities - cloud (online): | 1 x 1 hour scheduled online workshop per week. |
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.
Assessment
Individual problem solving task 25%, group problem solving task 30%, data science project 25%, 2 x quizzes (10% each) 20%
Unit Fee Information
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