FIT5196 · Monash University
Data wrangling
- Credit points
- 6
- Level
- 5
- Workload
- ≈ 12 h / week
- Faculty
- Information Technology
What it covers
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.
Assessment
| Task | Type | Weight |
|---|---|---|
| Group assignment 1 | Exercise | 35% |
| Group assignment 2 | Exercise | 40% |
| Quiz 1 | Quiz / Test | 10% |
| Learning Activity Participation | Written | 5% |
| Quiz 2 | Quiz / Test | 10% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Flexible |
| Second semester | Malaysia | On-campus |
| Clayton | Flexible |