Wolfram U

All Classes and Courses

Find the resources you need to learn about computational fields and further your understanding of Wolfram technologies.

Click any button to browse all catalog resources in a particular area or use the filters to refine your search. The catalog includes free, self-paced, interactive courses, standalone video lessons, video courses and scheduled instructor-led courses as well as archived and special events. Learn about the different course types.

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46 results

Daily Study Group: Getting Started with Mathematica and Wolfram Language

Daily Study Group: Getting Started with Mathematica and Wolfram Language
Special Event | FREE

Certification Levels: Completion

Learn to use Mathematica and the programming language at its core—Wolfram Language. Start with basic explorations to get familiar with the syntax and then go on to use the Wolfram Plugin with ChatGPT as a guide for writing snippets of code. Find your way through the documentation on 6000+ built-in functions and learn to use them for a range of programming tasks. You will learn to write your own functions, create visualizations, add interactivity and utilize the notebook interface to both create and present your analysis. No prior programming knowledge is required, and even seasoned users will pick up a useful trick or two.

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Data Visualization with Wolfram Language

Data Visualization with Wolfram Language
Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires basic working knowledge of Wolfram Language.

Certification Levels: Completion

With the use of a curated dataset from the Wolfram Data Repository, this course shows how to quickly visualize different data structures and how to make your graphics ready to publish and share. Domain-specific functions as well as general techniques are shared for getting the most out of your graphics. The course is intended for anyone who wants to learn more about data visualization using Wolfram Language.

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Does Gender Help with Your Maths Score?

Does Gender Help with Your Maths Score?
Interactive Course | FREE

Requirements: This course requires knowledge of common data visualisations (pie charts, bar charts, histograms) and statistics (min-max, mean, median, range).

Certification Levels: CompletionLevel 1

The ability to decide whether group A is different, either better or worse, than group B is an important technique within computational thinking and data science. It is useful in many areas, from medical experiments to sales figures to environmental changes. This Computational Thinking module introduces you to how problems like this can be tackled, first on small datasets, then on a national scale, comparing results to published reports.

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Ecological Research with Wolfram Language

Ecological Research with Wolfram Language
Special Event | FREE

Certification Levels: Attendance

Join this colloquium to hear overviews of recent work in ecology by research experts from around the world. This event will feature a series of short presentations by academic speakers focused on their recent ecological research, highlighting how they have used Wolfram Language tools in their work. Attendees will gain insights into the application of computational approaches to ecological studies, ranging from structural and spatial ecology to food web dynamical modeling, demonstrating the versatility and capability of Wolfram Language in addressing critical ecological challenges.

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Fast Introduction for Programmers

Fast Introduction for Programmers
Video Course | FREE

Certification Levels: Level 1

Learn to program in Wolfram Language—fast. These videos offer a quick introduction to Wolfram Language. As a programmer, you will get up to speed with the higher-level constructs of this fully symbolic programming language. You will be introduced to a selection of its nearly 6,000 carefully integrated, built-in functions. You can also try rapid prototyping of your ideas with quick cloud deployment options, as well as access and work with an amazing collection of curated computable data built into the language itself, from within the all-in-one notebook environment. After you are done, you will be able to read and understand almost any Wolfram Language code and start programming in Wolfram Language yourself.

Course Overview
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How Happy Are People in My Country?

How Happy Are People in My Country?
Interactive Course | FREE

Requirements: This course requires knowledge of common data visualisations (bar chart) and statistics (mean, median), as well as very basic spreadsheet skills.

Certification Levels: CompletionLevel 1

Happiness, like many other subjective measures, is difficult to define. But with careful assumptions, many governments and businesses can analyse subjective data and use it to improve future growth or the lives of their citizens. In this Computational Thinking module, you will learn how the assumptions are made and how data scientists analyse reliable sources of data, ultimately finding a measure of how happy people are in your country.

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Introduction to Elementary Algebra

Introduction to Elementary Algebra
Interactive Course | FREE

Requirements: This course requires no prior knowledge of Mathematica or Wolfram Language. Prerequisites for learning algebra are understanding basic math skills and fluency with basic math operations.

Certification Levels: CompletionLevel 1

Elementary algebra is a prerequisite for multiple mathematics and statistics courses, and a strong foundation in algebra can help you better understand more advanced math. This course introduces the basic concepts of algebra as well as common types of problems and how to solve them. Start with algebraic definitions and then move on to linear equations, linear inequalities, polynomials and quadratic equations. The instructor also discusses word problem examples in each section and walks through the steps to finding a solution.

Course Overview
  • Section 179 minutes
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Introduction to Image Processing

Introduction to Image Processing
Interactive Course | FREE

Requirements: This course requires basic working knowledge of the Wolfram Language.

Certification Levels: CompletionLevel 1

Make cutting-edge image processing simple with the Wolfram Language. Learn the fundamentals of digital image processing, including image representation and classical operations on images. This course emphasizes practical applications and understandable explanations of how image operations work. Numerous examples are included to illustrate standard applications.

Course Overview
  • Section 138 minutes
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Introduction to Machine Learning in Wolfram Language

Introduction to Machine Learning in Wolfram Language
Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires basic working knowledge of Wolfram Language.

Certification Levels: Completion

This course introduces some of the basic concepts of machine learning as well as easy-to-use machine learning superfunctions available in Wolfram Language. You will learn how to perform supervised and unsupervised learning tasks with just a few lines of code.

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Introduction to Mathematica for Students and Teachers

Introduction to Mathematica for Students and Teachers
Video Course | FREE

Certification Levels: Level 1

This video course provides an introduction to Mathematica for students, teachers and beginners of all kinds. It quickly covers a wide range of topics from algebra to calculus using examples, all delivered from the viewpoint of a highly skilled and experienced classroom teacher. It starts with the concept of a computational notebook and builds step by step to more advanced topics such as plotting, graphics and solving equations. The course includes techniques for entering mathematical notation using your keyboard and palette buttons and finding help using the Wolfram Documentation Center. The course is recorded by Ruth Dover, a math instructor and Wolfram Innovator who has taught thousands of students how to use Mathematica and Wolfram Language over the course of her career.

Course Overview
  • Video 116 minutes
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Introduction to Notebooks

Introduction to Notebooks
Interactive Course | FREE

Requirements: This course requires no prior knowledge of Mathematica or the Wolfram Language.

Certification Levels: Completion

Wolfram Notebooks have been widely adopted as the modern environment for technical workflows. In this course, you will be introduced to these powerful and interactive documents for computation, programming, generating reports and creating presentations. Learn how to style notebooks and create interactive interfaces using built-in Wolfram Language functionality. Generate immediate results with the natural language queries and reach your audience on multiple platforms with universal deployment options.

Course Overview
  • Section 17 minutes
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Introduction to Probability

Introduction to Probability
Interactive Course | FREE

Requirements: This course requires basic working knowledge of Mathematica or Wolfram Language. Prerequisites for probability include Algebra I (elementary algebra) and Algebra II (intermediate algebra).

Certification Levels: CompletionLevel 1

Probability is the branch of mathematics that deals with random phenomena. Using real-world examples, this comprehensive introduction to probability and statistics can help prepare you for coursework and research in natural science, engineering, finance, medicine, data science and other fields. The course starts with a discussion of basic probability concepts, followed by the study of random variables as well as common probability distributions and their applications. These topics are typically found in basic probability courses and serve as great preparation for statistics, data science and the professional examination Exam P from the Society of Actuaries.

Course Overview
  • Section 151 minutes
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Introduction to Statistics

Introduction to Statistics
Interactive Course | FREE

Requirements: This course requires basic working knowledge of Mathematica or Wolfram Language. Prerequisites for statistics include Algebra I (elementary algebra) and Algebra II (intermediate algebra).

Certification Levels: CompletionLevel 1

Statistics is the branch of mathematics concerned with collecting, describing, analyzing and interpreting data and trends in science, industry and society. This course introduces techniques for data visualization and descriptive statistics, methods for calculating confidence intervals and tools for hypothesis testing. Practical examples are used to demonstrate the application of statistical methods. The topics in this course are typically found in entry-level college statistics courses and serve as great preparation for the AP Statistics exam.

Course Overview
  • Section 112 minutes
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Notebooks as Instructional Tools

Notebooks as Instructional Tools
Instructor Led | FREE

Requirements: This course requires no prior knowledge of Wolfram Language or Mathematica.

Certification Levels: Completion

This course explores the versatility of Wolfram Notebooks for teaching and learning. Learn to write code with the help of natural language processing and chat-enabled notebook cells. Get practice and instruction in creating interactive content for sharing in notebooks, on the cloud and on the web.

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Practical Programming with Wolfram Language

Practical Programming with Wolfram Language
Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires basic working knowledge of Wolfram Language or introductory-level skill in any programming language.

Certification Levels: Completion

This course provides the knowledge, tools and guidance to efficiently create and maintain Wolfram Language projects. This course is designed for Wolfram Language users who are ready to move beyond the fundamentals and create their own programs and interfaces.

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Programming and Development in Wolfram Language

Programming and Development in Wolfram Language
Instructor Led | FREE

Requirements: This course requires understanding of the fundamental concepts of Wolfram Language programming and their applications.

Certification Levels: CompletionLevel 1Level 2

Learn about advanced programming and development concepts in Wolfram Language. This course is the third and final part of the programming proficiency sequence.

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Signals, Systems and Signal Processing

Signals, Systems and Signal Processing
Interactive Course | FREE

Requirements: This course requires basic working knowledge of the Wolfram Language.

Certification Levels: Completion

This course gives an introduction to the concepts, mathematics, principles and techniques of signal processing in linear, time-invariant (LTI) systems. The course covers methods of analysis for both continuous-time and discrete-time signals and systems, presents sampling and gives an elementary introduction to filter design. Many everyday signal processing examples are included. The concepts and methods of signals and systems presented here play an important role in many areas of science and engineering, and therefore the course should be of interest to a broad range of students.

Course Overview
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That's Random! Or Is It?

That's Random! Or Is It?
Interactive Course | FREE

Requirements: No particular prior knowledge of randomness is required. Knowing how to interpret a bar chart and understanding the terms integer, 2D and 3D would be beneficial.

Certification Levels: Completion

From selecting lottery numbers to testing new medicines, making sure something is truly random is important business. In this Computational Thinking module, you will learn how to recognise randomness, understand what makes something truly random and see how sample size can affect your opinion of randomness. You will explore what random noises, images and shapes look like before going on to generate your own. By learning how to use code to generate these random outputs, you will learn about pseudorandomness—computers’ attempt at true randomness.

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Wolfram Language Basics

Wolfram Language Basics
Video Course | FREE

Certification Levels: Level 1

Learn the most important basics of Wolfram Language—no prior experience necessary. This course was created from the online sessions at a popular Daily Study Group series. The video lessons start by introducing you to computational notebooks and covering the ideas of basic functional programming and visualization. Following videos dive deeper, covering symbolics, numerics and more advanced programming, enabling you to start working with your own data. The remaining videos greatly expand the scope of the material while remaining accessible to beginners, allowing anyone to start working with machine learning, media files, cloud publishing and deployment. By the time you are done, you will feel right at home in the notebook environment and be ready to start working with any kind of data or calculation you can imagine. This video course provides excellent preparation for the Wolfram Language Level 1 certification.

Course Overview
  • Video 147 minutes
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Wolfram Language Programming Fundamentals

Wolfram Language Programming Fundamentals
Instructor Led | SEE COURSE SCHEDULE

Requirements: This course does not require experience with Wolfram Language. It is a suitable course for those with introductory-level skill in any programming language who want to further develop Wolfram Language programming skills.

Certification Levels: CompletionLevel 1

This course provides a solid introduction to anyone who wants to develop an understanding of programming in Wolfram Language from the ground up. It features concise lecture sections, lesson notebooks with self-check exercises for further study and tips for writing Wolfram Language code. This is the first course in the Wolfram Language Programming Proficiency three-part course sequence.

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Wolfram Notebooks: Building and Sharing Technical Workflows

Wolfram Notebooks: Building and Sharing Technical Workflows
Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires no prior knowledge of Wolfram Language or Mathematica.

Certification Levels: Completion

In this course you will learn how to create Wolfram Notebooks, interactive and powerful computational documents. This course shows how you can combine Wolfram Language with the notebook interface to express your ideas and develop technical workflows for data science, modeling, research, education and more. Discover how to build rich computational essays and presentations and publish to the cloud. No experience with Mathematica or Wolfram Language is required.

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Wolfram Summer School Lecture Series

Wolfram Summer School Lecture Series
Interactive Course | FREE

Requirements: This course requires minimal experience with Wolfram Language to start and includes lectures of progressive difficulty ranging from introductions to more advanced topics.

Certification Levels: Completion

Wolfram Summer School provides unique educational and career opportunities at the frontiers of science, technology and innovation. Get a glimpse of the breadth of topics covered in the program by accessing this interactive course and its collection of select Summer School lecture videos and notebooks from past years. These comprehensive and extensive lectures are from content experts and Wolfram developers. Topics range from the basics of the notebook interface and an introduction to Wolfram Language for both beginners and experienced programmers to advanced applications of machine learning, neural networks and data science and the use of Wolfram technology in education. You can earn a course completion certificate by watching all the videos in this interactive course, but you can only get the full benefits of Wolfram Summer School by attending.

Course Overview
  • Section 11.25 hours
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Course Type

  • Interactive Courses
  • Video Lessons
  • Video Courses
  • Instructor-led Courses
  • Archived and Special Events

Interactive Courses

Also known as MOOCs (massive open online courses), these courses are hosted on the Wolfram Cloud and allow you to interactively explore concepts using Wolfram Language functionality.

  • Self-paced with progress tracking

  • Include video lessons, exercises and problems, quizzes, exams and a scratch notebook

  • Sharable completion certificates available for all courses

  • Wolfram Level 1 proficiency certifications available for select courses

Video Lessons

Short recorded lessons that provide limited instruction on a computational topic or for using Wolfram tech.

  • Quick-start videos

  • Lessons from content experts

  • A wide variety of beginner-level lessons

  • Free to watch

Video Courses

Video series that build on preceding lessons to provide comprehensive instruction.

  • Each video course features a playlist of sequential lessons

  • Recorded by Wolfram certified instructors

  • Comprehensive coverage of a particular topic

  • Free to watch

Instructor-led Courses

Scheduled as online and in-person classes, these courses provide comprehensive instruction guided by a live instructor.

  • Registration required to reserve your seat

  • Taught by Wolfram certified instructors

  • Opportunity to pose live questions to experts in the room

  • Course completion certificates available

Archived and Special Events

Presentations by Wolfram developers, content experts and instructors.

  • Webinars on special topics and new release functionality

  • Livecoding sessions

  • Wolfram Daily Study Groups

  • Free to watch