Turn data into decisions—and models into usable tools. In this self-paced Data Science & AI course, you’ll build a solid Python and SQL workflow, explore analytics and visualisation, and move into machine learning, deep learning, and NLP. Along the way, you’ll complete practical projects and get mentor feedback so you can confidently present your work in a portfolio.
Coaching you through an especially curated curriculum designed to take you from ‘just curious’ to ‘fully certified’ in data science in as few as 12 weeks (full time).
SQL, Python, Jupyter Notebook, Git and GitHub, Linear Algebra, Probabilities and Statistics.
Data Analysis, Data Preparation, Data Visualization and Data Exploration.
Machine Learning, Supervised and Unsupervised learning, ML model enhancement, Naive Bayes, SVM, Random Forests, ML Pipelines and Classification.
Neural Networks (implementation, troubleshooting & optimisation), CNN Architectures, Autoencoder Architecture, Data Augmentation, Tensorflow, Keras and Scikit-Learn.
Text coding for NLP, Recurrent Neural Networks (RNN), LSTM, Attention Mechanisms, Transformer Model and chatbot building.
You don’t need any prior qualifications in computer science or programming to join our bootcamp. We assume no prior knowledge and will guide you through the basics in the first few weeks, ensuring you build a strong foundation from the ground up. Whether you're new to the field or looking for a career change, our program is designed to get you up to speed quickly and confidently
Build proof, not just knowledge. You’ll complete practical projects inspired by real scenarios, so you can show outcomes and decision-making—perfect for performance reviews, interviews, or internal mobility.
Get help while you build. Mentors provide feedback on your work, unblock you when you’re stuck, and share industry context so you learn the “why” behind best practices—not only the steps.
Stay oriented from start to finish. Each course is broken into milestones with specific outcomes and deliverables, so you always know what to focus on next and how it connects to your growth.
Learning the skills is step one—presenting them well is step two. We support you with guidance on portfolios, CVs, LinkedIn, and interview practice so your new capabilities are easy to communicate, whether you’re upskilling in your current role or exploring new opportunities.
