Up to three months

Foundations of Data Science: K-means Clustering in Python, delivered on the Coursera platform, is designed to give students an introduction to the core concepts of data science and to prepare them for intermediate and advanced data science courses.

This course serves as a solid introduction to essential mathematics, statistics, and programming competencies crucial for various data analysis endeavors. Through a practical data clustering task, students will delve into these core concepts, simultaneously acquiring vital programming skills essential for proficiency in data science techniques. Additionally, this course can be utilized to fulfill the entry prerequisites for the MSc Data Science program, laying the groundwork for a comprehensive understanding of the field

This course is for anyone who would like to apply their technical skills to creative work ranging from video games to art installations to interactive music, and also for artists who would like to use programming in their artistic practice.

Upon course completion, you will possess the skills to author imaginative audiovisual programs for desktop and mobile using the Processing environment. You’ll adeptly manipulate sound creatively, showcase images and image sequences, generate interactive algorithmic graphics, and even construct a basic game using a 2D physics engine. Moreover, supplementary resources will be available to support students with no prior programming experience.

Application Deadlines

Ongoing

Programme Duration

5 weeks

Academic Direction
Goldsmiths, University of London and University of London

Modes of Study
Online