Data Wrangling and Social Media Analytics

Course aim

This course explores advanced modern analytical techniques to extract and understand real-world datasets which are messy. To develop practical knowledge of core concepts and techniques for obtaining meaningful information from real world unstructured data (such as text and social media data) and apply them using modern implementations in R, Python and SAS. In particular, a focus on text and social media data with the use of SAS, a statistical software.

Course content

A focus will be data wrangling techniques for non-standard, big, messy data: natural language processing, networks and longitudinal data.
Analytics tools: to review and select appropriate analytics tools to analyse social media-sourced text and non-text data. Including both SAS and R.
Data Wrangling and Data Types. Identify, assess, infer from different data types especially messy data. To be able to analytically analyse and use visualisation tools across a range of different sources including social media data sources, and present outcomes appropriately in support of business intelligence, exploratory data analysis, research or investigation purposes;
Web Analytics: analysing social media-sourced text and non-text data to address a business question; and
User analytics: interpreting users' interaction with social media sites, such as comments, likes and upvotes, and user activity metadata.

Textbook(s)

Nil

Prerequisite(s)

Corequisite(s)

Nil

Teaching method

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Assignment, Critical analysis

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.