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 2022. It needs ITO4133 or ITO4136.
- Credit points
- 6
- Offered in 2022
- Other periods
- Monash Online
- Assessment
- No exam
- 3 tasks
This is the 2022 handbook entry. See the 2027 entry.
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Requisites
Before ITO5196
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
After ITO5196
No unit lists ITO5196 as a prerequisite in the 2022 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 2022
| Teaching period | Campus | Mode |
|---|---|---|
| Teaching period 3 | Monash Online | Online |
| Teaching period 6 | Monash Online | Online |
Assessment
- Assessment 1Assignment35%
- Assessment 2Assignment35%
- Assessment 3Other30%
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/