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.
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
- Section 210 minutes
- Section 311 minutes
- Section 410 minutes
- Section 512 minutes
- Section 617 minutes
- Section 77 minutes
- Section 812 minutes
- Section 99 minutes
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Introduction to Stochastic Processes for Finance Research and Trading
Introduction to Stochastic Processes for Finance Research and Trading
Interactive Course | FREE
Requirements: The course requires a basic understanding of both probability theory (in particular probability distributions) and linear algebra. This course requires minimal experience with Wolfram Language.
Certification Levels: Completion
Learn about modeling financial data with stochastic processes for quantitative research and trading from an expert in quantitative finance. Modeling stochastic processes helps you make sense of and predict outcomes in random data, such as stock prices.
Course Overview
- Section 120 minutes
- Section 218 minutes
- Section 329 minutes
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
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
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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.
Learn MoreWolfram 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
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