Description
This subject will provide students with an overview of data science as a discipline as well as an introduction to a number of topics that play fundamental roles across various subjects in this area. Students will learn different forms of representing and pre-processing data for further analysis and visualisation. They … For more content click the Read More button below.
Other Requirements
Pre-enrolment Requirement
Learning Outcomes
Upon completion of this subject, graduates will be able to:
1.
Explain what data science is about and the areas that play major roles within the realm of data science
2.
Explain and exemplify the most common forms of data types and representations
3.
Identify and describe at a conceptual level a core collection of simple yet powerful techniques for data visualisation in the realm of data science
4.
Conceptually describe and apply a core collection of elementary techniques for data pre-processing
5.
Interpret and explain, at a conceptual level, results of algorithm analyses
6.
Apply common data representation and data pre-processing techniques, such as wrangling and tidying, using the software package and language R
Assessments
1. Written - Problem task
2. Written - Project report
3. Written - Test/Quiz
Offerings
Block 2
CAM-BNE-BL2
Block 3
ONL-ONL-BL3
Trimester 1
CAM-CNS-TR1
CAM-TSV-TR1
Trimester 3
CAM-BNE-TR3
CAM-CNS-TR3
Learning Activities
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