ITO5196 Data wrangling
Faculty of Information Technology
ITO5196 Data wrangling is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology. It isn't offered in 2024. It needs ITO4136 or ITO4133.
- Credit points
- 6
- Offered in 2024
- Other periods
- Monash Online
- Assessment
- No exam
- 2 tasks
This is the 2024 handbook entry. See the 2027 entry.
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Requisites
Before ITO5196
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
After ITO5196
No unit lists ITO5196 as a prerequisite in the 2024 handbook.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit introduces tools and techniques for data wrangling. It will cover the problems that prevent raw data from being effectively used in analysis and the data cleansing and pre-processing tasks that prepare it for analytics. These include, for example, the handling of bad and missing data, data integration and initial feature selection. It will also introduce text mining and web analytics. Python and the Pandas environment will be used for implementation.
Offerings in 2024
| Teaching period | Campus | Mode |
|---|---|---|
| Teaching period 3 | Monash Online | Mo |
| Teaching period 6 | Monash Online | Mo |
Assessment
- Assessment 1Assignment40%
- Assessment 2Assignment60%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Parse data in the required format;
- 2
Assess the quality of data for problem identification;
- 3
Resolve data quality issues ready for the data analysis process;
- 4
Integrate data sources for data enrichment;
- 5
Document the wrangling process for professional reporting;
- 6
Write program scripts for data wrangling processes.
Workload and teaching
- Workshops12 hours
- Teaching approachOnline learning
A minimum of 122 hours over the 6 week teaching period should be used to complete assignments, participating in discussions, private study and revision.
Learning resources
Technology resources
The Programming environments: Python 3 has been added. Python 3 - https://www.python.org/downloads/ and Jupyter Notebook - https://jupyter.org/
Contacts
- Chief Examiners
- Dr Jackie Rong