Data Structures for Designers Using Python (Coursera)

Data Structures for Designers Using Python (Coursera)

In Data Structures for Designers Using Python, you’ll delve into the critical concepts of data structures and object-oriented programming, tailored specifically for design and visual content creation applications. You’ll be introduced to object-oriented programming principles in Python, enabling you to model real-world scenarios and design problems using objects and classes.

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

You will use the Processing platform to draw lines, rectangles, ellipses, and more through the program’s Python mode. Learn about vector math and how it can be manipulated to store, organize, and manage data efficiently in creative projects. These approaches to Python allow you to gain a deeper understanding of the programming language while enhancing your ability to conceptualize and implement sophisticated design solutions.
This is the second course in a three-part series, Programming for Designers, aimed at equipping designers, including those in architecture, graphic design, industrial design, game design, and visual artists, with essential computational design skills.
This course is part of the Programming for Designers Specialization.

What you'll learn

  • Learn to use Python data structures to create intricate designs
  • Use object-oriented programming to simulate complex behaviors and relationships in design composition
  • Use Python to create dynamic motions and transformations in digital artwork

Syllabus

Introduction to Data Structures
Our journey begins with lists and dictionaries, the fundamental data structures for organizing and storing data in Python. You'll learn how to manipulate these structures using examples that involve typography, exploring how text can be dynamically integrated and manipulated to create engaging visual compositions.

Grids
In our second week, we delve into grid structures, learning how to navigate and manipulate grids to perform neighbor operations. This knowledge is crucial for creating complex patterns and interactions within your designs, enabling a deeper exploration of spatial relationships and connectivity.

Vectors
Vectors and vector math form the backbone of generative art and design. This week focuses on understanding vectors and applying vector math to create dynamic and organic generative drawings. We will explore the power of vectors in modeling motion, forces, and other natural phenomena, translating these concepts into visually stunning designs.

Object Oriented Programming
Object-oriented programming (OOP) introduces a new way of thinking about code, focusing on classes and instances. This week, you'll learn how to define classes and create instances, encapsulating both data and functions into objects. This approach will enable you to organize your code more effectively and create more modular and flexible designs.

Object Interactions
We conclude our course by expanding our exploration of object-oriented programming. You'll learn how to work with multiple classes and how objects can interact with each other to simulate complex systems. This week provides the groundwork for developing advanced interactive and generative projects, where the interaction between multiple elements creates rich, dynamic systems.

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

Related Courses

Advanced Algorithms and Complexity (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Advanced Algorithms and Complexity (Coursera)

You've learned the basic algorithms now and are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision.

Jun 1st 2026
5-12 Weeks
Problem Solving, Python Programming, and Video Games (Coursera) Coursera
University of Alberta

Problem Solving, Python Programming, and Video Games (Coursera)

This course is an introduction to computer science and programming in Python. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. The Python programming language and video games are used to demonstrate computer science concepts in a concrete and fun manner. However, a learner can take the knowledge and skills from this course and apply them to non-game problems, other programming languages, and other computer science courses.

Jun 1st 2026
5-12 Weeks
Hypothesis Testing with Python and Excel (Coursera) Coursera
Tufts University

Hypothesis Testing with Python and Excel (Coursera)

In today's job market, leaders need to understand the fundamentals of data to be competitive. An essential procedure to understand business and analytics is hypothesis testing. This short course, designed by Tufts University expert faculty, will teach the fundamentals of hypothesis testing of a population mean and a population proportion, using Excel and Python for calculations. You'll also discover the central limit theorem, which is essential for hypothesis testing. To conclude the course, you will apply your newfound skills by creating a plan for an experiment in your own workplace that uses hypothesis testing.

Jun 2nd 2026
1 Week
Object Oriented Programming in Java (Coursera) Coursera
University of California, San Diego

Object Oriented Programming in Java (Coursera)

Welcome to our course on Object Oriented Programming in Java using data visualization. People come to this course with many different goals -- and we are really excited to work with all of you! Some of you want to be professional software developers, others want to improve your programming skills to implement that cool personal project that you’ve been thinking about, while others of you might not yet know why you’re here and are trying to figure out what this course is all about.

Jun 1st 2026
5-12 Weeks
Algorithmic Toolbox (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Algorithmic Toolbox (Coursera)

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).

Jun 1st 2026
5-12 Weeks
Hadoop Platform and Application Framework (Coursera) Coursera
University of California, San Diego

Hadoop Platform and Application Framework (Coursera)

This course is for novice programmers or business people who'd like to understand the core tools used to wrangle and analyze big data. With no prior experience, you'll have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment.

Jun 1st 2026
5-12 Weeks
Introduction to Computer Vision with Watson and OpenCV (Coursera) Coursera
IBM

Introduction to Computer Vision with Watson and OpenCV (Coursera)

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about its various applications across many industries.

Jun 1st 2026
4 Weeks
Python Basics (Coursera) Coursera
University of Michigan

Python Basics (Coursera)

This course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures. You'll program an on-screen Turtle to draw pretty pictures. You'll also learn to draw reference diagrams as a way to reason about program executions, which will help to build up your debugging skills.

Jun 1st 2026
4 Weeks
Data Engineering with Rust (Coursera) Coursera
Duke University

Data Engineering with Rust (Coursera)

Are you a data engineer, software developer, or a tech enthusiast with a basic understanding of Rust, seeking to enhance your skills and dive deep into the realm of data engineering with Rust? Or are you a professional from another programming language background, aiming to explore the efficiency, safety, and concurrency features of Rust for data engineering tasks? If so, this course is designed for you.

Jun 4th 2026
4 Weeks
Python Data Analysis (Coursera) Coursera
Rice University

Python Data Analysis (Coursera)

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.

Jun 1st 2026
4 Weeks
Data Structures (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Data Structures (Coursera)

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments.

Jun 1st 2026
5-12 Weeks
Regression Modeling in Practice (Coursera) Coursera
Wesleyan University

Regression Modeling in Practice (Coursera)

This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.

Jun 5th 2026
4 Weeks