Python Fundamentals for Designers (Coursera)

Python Fundamentals for Designers (Coursera)

Python Fundamentals for Designers is an introduction to programming using Python meant for students interested in how programming is applied to visual applications and design. The course introduces the foundations of programming through a visual and dynamic learning environment. You’ll cover the essential building blocks of Python programming, from basic syntax and data types to more advanced concepts like control structures, functions, and inputs/outputs.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Learn to build shapes and designs while implementing data structures that allow room for more complexity and depth within your projects. By the end of the course, you’ll be able to create dynamic and organic visual effects using the Processing platform with Python.
This is the first course in a three-part series, Programming for Designers, aimed at equipping designers with essential computational design skills.
This course is part of the Programming for Designers Specialization.

What you'll learn

  • Learn how Python can be applied to design projects
  • Execute simple Python scripts to draw geometric forms like lines, rectangles, and ellipses
  • Learn to use Python’s object-oriented programming to create basic shapes and designs

Syllabus

Introduction
In our first week, we will cover the basics: syntax, variables, coordinates, and functions. These are the building blocks of any programming language, and understanding them is crucial for moving forward. You'll learn how to write simple Python scripts within the Processing environment and lay the groundwork for more complex designs.

Drawing Primitives / Randomness / Boolean Logic
We'll dive into drawing primitives, explore iteration, and develop compositions using randomness. This week is all about bringing creativity into coding. You'll start to see how programming can become an integral part of your design process, allowing you to create intricate and dynamic compositions.

Conditionals / Boolean Logic / Probability
Our focus shifts to conditional statements, boolean logic, and simple state machines. These concepts are key to making your designs responsive and interactive. You'll learn how to incorporate logic into your projects, enabling designs that can adapt and change based on different conditions.

Transformations
We'll explore the transformative power of coding with translate, rotate, scale, and the push and pop matrix operations. Understanding these transformations will allow you to manipulate your designs in complex ways, opening up a new dimension of creativity and control in your work.

Input and Output
Finally, we'll cover how to read and write output in various formats and alter image pixel data. This week is crucial for those interested in data visualization or working with images in a programmatically creative manner. You'll gain the skills to manipulate and utilize data, enhancing your designs with a layer of dynamism and interactivity.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera) Coursera
University of California, San Diego

Comparing Genes, Proteins, and Genomes (Bioinformatics III) (Coursera)

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.

Nov 9th 2026
5-12 Weeks
Fundamental Skills in Bioinformatics (Coursera) Coursera
King Abdullah University of Science and Technology (KAUST)

Fundamental Skills in Bioinformatics (Coursera)

The course provides a broad and mainly practical overview of fundamental skills for bioinformatics (and, in general, data analysis). The aim is to support the simultaneous development of quantitative and programming skills for biological and biomedical students with little or no background in programming or quantitative analysis.

Nov 16th 2026
4 Weeks
Laboratório de Programação Orientada a Objetos - Parte 1 (Coursera) Coursera
Universidade de São Paulo, Brasil

Laboratório de Programação Orientada a Objetos - Parte 1 (Coursera)

Este curso apresenta os conceitos mais importantes em torno do paradigma de desenvolvimento mais comum da indústria de software hoje: a Programação Orientação a Objetos (POO). Oferecido pelo Departamento de Ciência da Computação do Instituto de Matemática e Estatística da USP, o curso é voltado para quem já conhece os conceitos básicos de POO e quer se aprofundar no assunto, tornando-se um excelente programador. Ele funciona bem como uma sequência natural aos 2 cursos anteriores do Prof. Fabio Kon do IME-USP no coursera: Introdução à Ciência da Computação com Python.

Nov 16th 2026
5-12 Weeks
Artificial Intelligence (AI) Education for Teachers (Coursera) Coursera
Macquarie University

Artificial Intelligence (AI) Education for Teachers (Coursera)

Today’s learners need to know what artificial intelligence (AI) is, how it works, how to use it in their everyday lives, and how it could potentially be used in their future. Using AI requires skills and values which extend far beyond simply having knowledge about coding and technology. This course is designed by teachers, for teachers, and will bridge the gap between commonly held beliefs about AI, and what it really is. AI can be embedded into all areas of the school curriculum and this course will show you how. This course will appeal to teachers who want to increase their general understanding of AI, including why it is important for learners; and/or to those who want to embed AI into their teaching practice and their students’ learning.

Nov 16th 2026
5-12 Weeks
Machine Learning: Concepts and Applications (Coursera) Coursera
University of Chicago

Machine Learning: Concepts and Applications (Coursera)

This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a wide variety of techniques. Those techniques include linear regression with ordinary least squares, logistic regression, support vector machines, decision trees and ensembles, clustering, principal component analysis, hidden Markov models, and deep learning.

Nov 16th 2026
5-12 Weeks
Programming for Everybody (Getting Started with Python) (Coursera) Coursera
University of Michigan

Programming for Everybody (Getting Started with Python) (Coursera)

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.

Nov 9th 2026
5-12 Weeks
Creative Programming for Digital Media & Mobile Apps (Coursera) Coursera
University of London,Goldsmiths, University of London

Creative Programming for Digital Media & Mobile Apps (Coursera)

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. This course will teach you how to develop and apply programming skills to creative work. This is an important skill within the development of creative mobile applications, digital music and video games. It will teach the technical skills needed to write software that make use of images, audio and graphics, and will concentrate on the application of these skills to creative projects. Additional resources will be provided for students with no programming background.

Nov 9th 2026
5-12 Weeks
Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Nov 9th 2026
4 Weeks
Exam Prep AI-102: Microsoft Azure AI Engineer Associate (Coursera) Coursera
Whizlabs

Exam Prep AI-102: Microsoft Azure AI Engineer Associate (Coursera)

The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring.

Nov 16th 2026
5-12 Weeks
Diseño de Experiencia en Servicios (Coursera) Coursera
Universidad Austral

Diseño de Experiencia en Servicios (Coursera)

En la era de la comunicación, no siempre los servicios saben escuchar las necesidades profundas del cliente, ni tampoco es habitual que se innoven poniendo al cliente en el centro del proceso. ¿Qué técnicas de investigación de usuarios pueden ayudarte a mejorar un servicio? ¿Cómo entender a los usuarios y lo que buscan, y diseñar servicios que pongan sus necesidades como punto de partida? ¿Cómo lograr, a través de este diseño, que quieran crear una relación a largo plazo con la empresa?

Nov 9th 2026
4 Weeks
Open Design (Coursera) Coursera
Duke University

Open Design (Coursera)

What is design? How is it a deeply human endeavor? How can we design better products, services, and experiences in our communities? If you’re interested in helping create a more equitable and accessible world, this Center for Computational Thinking module on Open Design is for you.

Nov 9th 2026
1 Week
Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript (Coursera) Coursera
University of Michigan

Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript (Coursera)

Why should a designer learn to code? As our world is increasingly impacted by the use of algorithms, designers must learn how to use and create design computing programs. Designers must go beyond the narrowly focused use of computers in the automation of simple drafting/modeling tasks and instead explore the extraordinary potential digitalization holds for design culture/practice.

Nov 9th 2026
5-12 Weeks