Learn how to work with data end‑to‑end: analyse datasets, build machine learning models, and turn results into clear insights you can present. You’ll practise Python and SQL, explore classic ML techniques, and get an introduction to deep learning and NLP through applied, portfolio-ready work—supported by mentor feedback along the way.
A hands-on Data Science & AI curriculum built to help you analyse data, build models, and understand modern ML workflows—typically completed in 12 weeks full-time or 24 weeks part-time.
SQL, Python, Jupyter Notebook, Git/GitHub, linear algebra, probability, and statistics
Data analysis, preparation, visualisation, and exploration
Supervised/unsupervised learning, pipelines, model improvement, and evaluation
Neural networks, CNNs, troubleshooting and optimisation, TensorFlow/Keras, and Scikit-Learn
Text processing, RNN/LSTM, attention mechanisms, transformers, and chatbot building
No formal prerequisites are required, but you’ll get the most out of the program if you’re ready to practise consistently. We cover fundamentals early (especially during pre-work) and build toward applied machine learning and AI projects—useful for analysts, engineers, and curious professionals upskilling from Iceland.
Learning sticks when you build. You’ll complete practical projects inspired by real scenarios, so you finish with work you can show—whether you’re applying for a role, aiming for a promotion, or building freelance credibility.
Don’t get stuck in tutorial limbo. Mentors give you feedback on your work, help you unblock issues, and share real-world context so you understand not just what to do, but why it matters.
Every course follows a structured progression with defined milestones. You’ll know what to focus on next, how to practise effectively, and what ‘good’ looks like for each deliverable.
Whether you’re aiming for a new role or simply strengthening your current profile, we support you beyond the curriculum. Get guidance on presenting your projects, improving your CV/LinkedIn, and preparing for interviews—so your new skills translate into real opportunities.
