---

SIT742: Modern Data Science

---

• 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:
• Pull requests are welcome:
• Point of Contact 👉 : Prof. Gang Li

Prepared by SIT742 Teaching Team

---

Lab Session related ScreenCasting on YouTube

• SIT742: Modern Data Science

Prepared by 🌷 TULIP Lab, Australia

---

Modules

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 sister repository of this one can be found at (key resources are password protected, only available in CloudDeakin): , which is more frequently updated with the Readings than CloudDeakin SIT742 site, but it tailored out all the key Cloud-First content.

Module	Category	Topic	Module Notebooks
1️⃣	Preliminary	Unit Induction
2️⃣	Preliminary	Python	M02C-DataTypes M02D-ControlFlow M02E-PoP-OOP M02F-Files M02G-AdvDataTypes M02H-Packages
3️⃣	Core	Big Data	M03D-DataAcquisition-I M03E-DataAcquisition-II M03X-DataWrangling-I
4️⃣	Core	Data Manipulation	M04A-DataWrangling-II M04B-EDA M04F-Spark M04G-SparkSQL M04H-CS-WordCount
5️⃣	Core	Data Analytics	M05A-TimeSeries M05B-ARIMA M05C-IsolationForest M05E-ARMining
6️⃣	Advanced	Advanced	M06A-IBMDP-30Seconds M06B-IBMDP-Exploration M06D-GAN-ImageGeneration M06E-GANBLR-TabularDataGeneration

Contributors

Thanks goes to these wonderful people 🌷

Made with contributors-img.