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Unit of Study ISYS2002 - Data Wrangling and Advanced Analytics (2022)

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Unit Snapshot

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Unit description

Introduces students to big data technologies. Students will gain the knowledge and skills to design and implement data analytics models using programming languages and contemporary data analytics tools to solve real-world problems and aid decision-making.

Unit content

1. Introduction to Big Data Analytics
2. Data Pre-processing
3. Data Wrangling
4. Introduction to Neural Networks
5. Neural Network based Data Modelling
6. Big Data Analytics Case study
 

Availabilities

Not currently available in 2022

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

use contemporary data analytics libraries and tools

develop and apply algorithms to prepare data for analysis

analyse and apply appropriate data modelling approaches

develop business intelligence systems using data analytics tools and programming libraries