- Materials in this module include resources collected from various open-source online repositories.
- You are free to use, change and distribute this package.
- If you found any issue/bug for this document, please submit an issue at tulip-lab/sit742
- Point of Contact: A/Prof. Gang Li
Prepared by SIT742 Teaching Team
Prepared by TULIP Lab, Australia
You are recommended to use Cloud platform to run the materials, such as:
- Week 01: Python Programming
- Week 02: A Touch of Data Science
- Week 03: Data Wrangling
- Week 04: Text Analysis
- Week 05: Data Visualization
- SIT742P05A: Exploratory Data Analysis
- SIT742P05B: Matplotlib (Optional)
- SIT742P05C: Pyplot (Optional)
- Week 06: Big Data Platform (I)
- Week 07: Big Data Platform (II)
- Week 08: Data Analytics (I)
- Week 09: Data Analytics (II)
- SIT742P09A: Unsupervised Learning
- SIT742P09B: Anomaly Detection (Optional)
- SIT742P09C: Isolation Forest (Optional)
- Week 10: Data Analytics (III)
- Week 11: Data Analytics (IV)
- 2019 Assessment Tasks