- These unit materials include original teaching content and resources collected from external sources.
- Repository code is provided under the MIT License. Original narrative teaching content is provided under CC BY-NC-SA 4.0, except where stated otherwise. Datasets and third-party resources retain their source-specific terms; see LICENSING.md.
- If you found any issue/bug for this document, please submit an issue at tulip-lab/sit742:
- Pull requests are welcome:
- Point of Contact 👉 : Prof. Gang Li
Prepared by SIT742 Teaching Team
Prepared by 🌷 TULIP Lab, Australia
- Practical and LabClasses index
- Current 2026 assessment materials
- Practical dataset catalogue
- Repository licensing and dataset-use guidance
- Teaching content licence
Historical assessment materials remain available for reference, but they are superseded and must not be treated as current assessment instructions.
You are recommended to use Cloud platform to run the materials, such as:
- Google Colab: which will be used in SIT742 practical classes.
- Databricks - Community version: the original contributor to Apache Spark.
The related Modern Data Science repository contains more general learning materials. Use this repository and the current SIT742 unit site for SIT742 practical and assessment instructions.
| Module | Category | Topic | Module Notebooks |
|---|---|---|---|
| 1️⃣ | Preliminary | Unit Induction | |
| 2️⃣ | Preliminary | Python | |
| 3️⃣ | Core | Big Data | |
| 4️⃣ | Core | Data Manipulation | |
| 5️⃣ | Core | Data Analytics | |
| 6️⃣ | Advanced | Advanced |
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