Project portfolio from the Master of Data Science (Global) — Deakin University, Melbourne, Australia × Great Learning. Focus: data science, AI/ML, business analytics, and practical project work.
- University: Deakin University, Melbourne, Australia
- Delivery: Great Learning (online)
- Duration: 24 months (pathway + Deakin curriculum) · 11+ projects · 1 capstone
- Outcomes: Master’s degree from Deakin · Postgraduate certificates (e.g. UT Austin McCombs) · AQF Level 9
git clone https://github.com/ananttripathi/MDS-Deakin-University.git
cd MDS-Deakin-UniversityEach project lives in projects/ with its own README, code, and setup. See CONTRIBUTING.md for how to add or run projects.
MDS-Deakin-University/
├── README.md
├── LICENSE
├── CONTRIBUTING.md
├── requirements.txt
└── projects/ # Course projects & capstone
├── README.md # Index of projects
├── module-*/ # e.g. analytics, ml, capstone
│ ├── README.md
│ ├── requirements.txt
│ └── ...
└── ...
(Add your MDS course projects under projects/ as you complete them.)
| Area | Tools |
|---|---|
| Languages & Data | Python, R, SQL, Pandas, NumPy |
| ML & Analytics | Scikit-learn, XGBoost, TensorFlow, Keras; Statistics, EDA |
| GenAI & LLMs | ChatGPT, Generative AI modules |
| BI & Viz | Matplotlib, Seaborn, Tableau, Power BI |
| Platforms | Jupyter, Google Colab, Git/GitHub |
22+ tools, 60+ case studies.
Program overview · Deakin MDS (Global)
- Data Science foundations – Statistics, Python, SQL, EDA
- Machine Learning & AI – Regression, classification, clustering, DL, GenAI
- Business Analytics – Decision-making, ROI, dashboards
- Capstone – End-to-end data science project
- Career support – Portfolio, resume, mock interviews, Excelerate jobs portal
Co-author: ananttripathiak
This project is licensed under the MIT License.
Suggested GitHub topics: deakin-university data-science great-learning machine-learning melbourne analytics python portfolio
Open a GitHub Issue for questions or suggestions.