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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29 results

Multiparadigm Data Science

Multiparadigm Data Science
Interactive Course | FREE

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

Certification Levels: CompletionLevel 1Level 2

Multiparadigm Data Science is a rapidly advancing new way to use modern analytical techniques, automated machine learning and human-data interfaces to arrive at better answers. This course introduces the basic concepts of the multiparadigm approach, demonstrating both the flexible, integrated project workflow and the broad computational toolkit that supports it from start to finish. Discover best practices, exploration techniques and ways to leverage high-level Wolfram Language to get real, quantifiable answers to the full range of data science problems.

Course Overview
  • Section 135 minutes
  • Section 225 minutes
  • Section 316 minutes
  • Section 458 minutes
  • Section 524 minutes
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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 analysis methods 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
  • Section 110 minutes
  • Section 251 minutes
  • Section 345 minutes
  • Section 440 minutes
  • Section 544 minutes
  • Section 644 minutes
  • Section 744 minutes
  • Section 836 minutes
  • Section 943 minutes
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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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Visual Explorations in Data Science

Visual Explorations in Data Science
Interactive Course | FREE

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

Certification Levels: CompletionLevel 1

Data is all around us, and methods of making sense of data are only becoming more important. This course introduces a visual, example-driven approach to learning the process of data science. Through built-in knowledge in Wolfram Language, a dozen extensive and applicable explorations are carried out, with visualization guiding the way. Discover the richness of curated, computable data about millions of entities and hundreds of entity types built into Wolfram Language. Learn to leverage curated data and a plethora of data visualization functions to discover a revolutionary new way of doing data science: localized, organized and extensive.

Course Overview
  • Section 125 minutes
  • Section 213 minutes
  • Section 324 minutes
  • Section 418 minutes
  • Section 519 minutes
  • Section 618 minutes
  • Section 724 minutes
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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
  • Section 27 hours
  • Section 36.5 hours
  • Section 42.25 hours
  • Section 53.25 hours
  • Section 63.5 hours
  • Section 72 hours
  • Section 81.25 hours
  • Section 92.75 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