ITI5196 Data wrangling
Faculty of Information Technology
ITI5196 Data wrangling is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology. It isn't offered in 2023. It needs ITI9136.
- Credit points
- 6
- Offered in 2023
- Other periods
- Indonesia
- Assessment
- No exam
- 2 tasks
- Workload
- 144 hours
- per semester
This is the 2023 handbook entry. See the 2027 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review ITI5196.
Requisites
Before ITI5196
Prerequisites
Pass these before you enrol.
Prohibitions
You can't enrol if you have passed any of these.
After ITI5196
No unit lists ITI5196 as a prerequisite in the 2023 handbook.
Enrolment rules
This unit is only available to students enrolled at the Indonesia campus.
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 2023
| Teaching period | Campus | Mode |
|---|---|---|
| Monash Indonesia term 1 | Indonesia | On campus |
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
- Lectures24 hours
- Tutorials24 hours
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per teaching period typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning and online engagement.
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
Common questions
What are the prerequisites for ITI5196?
You need ITI9136 before you enrol. Enrolment rules also apply.
When is ITI5196 offered?
ITI5196 has no offerings listed in the 2023 handbook.
How much work is ITI5196?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ITI5196 have an exam?
No. ITI5196 has 2 assessment tasks and no exam.