Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Learning to code can feel intimidating, but the right strategy makes it easier and more rewarding. From tackling Data Structures and Algorithms to understanding Python’s beginner-friendly nature, ...

In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search: search whether an element is ...

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists of ...

Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...

In this Python for beginners tutorial, you will learn the essentials for data analysis. The tutorial covers how to install Python using Anaconda and set up Jupyter Notebook as your code editor. You ...

This course is compulsory on the BSc in Data Science and BSc in Mathematics with Data Science. This course is available on the BSc in Mathematics and Economics, BSc in Mathematics with Economics, BSc ...