Computational thinking is increasingly recognised as a fundamental approach to problem solving that transcends traditional disciplinary boundaries. It involves organising complex challenges into ...

Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...