Data Science
Turn raw data into models and decisions that change how businesses operate.
Course Overview
Data science is where statistics, code and business questions meet. It's a field that rewards curiosity — and the demand for people who can model real problems keeps growing.
You'll learn through live Python and stats sessions, hands-on notebooks and mentor code reviews on real datasets. Sessions are recorded and beginners are supported from zero.
You leave with a portfolio of notebooks and models, a certificate — and the included internship where you model real problems with a real team.
Course Outline & Modules
Expand each module to see the topics you'll cover.
- Orientation to Data Science
- Set up Python, Jupyter and Git
- Core stats and ML vocabulary
- Your first small dataset explore
Like what you'll learn? Secure your spot in the next cohort.
Skills you'll gain
The stack and craft you'll walk away fluent in.
- Python
- pandas
- NumPy
- scikit-learn
- Statistics
- Machine Learning
- Jupyter
- Feature Engineering
- Model Evaluation
- Data Visualization
Roles this prepares you for
Where our graduates step in after course + internship.
Projects you'll build
Load, clean and explore a messy real-world dataset in a reproducible notebook.
Train a classification or regression model and evaluate it properly.
Ship a full modeling project on real data and present findings to stakeholders.
Who it's for
Built for people ready to put in real work.
Ready to start Data Science?
Apply now to secure your seat, or apply for a scholarship if funding is a barrier.