All Classes and Courses

An Elementary Introduction to the Wolfram Language

Interactive Course | FREE

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

Certification Levels: CompletionLevel 1

Learn Wolfram Language and modern computational thinking from Stephen Wolfram's book with veteran Wolfram Language instructor and developer David Withoff. The course requires no prior programming knowledge and is suitable for those at any educational level with an interest in computational thinking and its practical applications.

Computational Xplorations

Instructor Led | FREE

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

Certification Levels: Completion

Discover how to interactively explore nearly any field using computation. See how computational thinking—a modern blend of critical analysis and information processing—can be applied to almost any field, from cartography to machine learning–powered 3D facial reconstruction. You'll learn practical ways to use knowledge-based programming workflows in your classroom, research project or company. This class introduces innovative methods for discovering ideas and insights using the computational intelligence of Wolfram Language, the user-friendly coding environment of Wolfram Notebooks and the curated real-world knowledge of the Wolfram Knowledgebase.

Creative Computation

Interactive Course | FREE

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

Certification Levels: CompletionLevel 1

Explore core programming concepts by creating visual art, poetry and video games using built-in Wolfram Language functions and the Wolfram Notebook interface. Learn to use coding and computation as tools to develop your creative potential and build a portfolio of computationally creative work.

Daily Study Group: What Is ChatGPT Doing ... and Why Does It Work?

Special Event | FREE

Certification Levels: Completion

Find out what's going on inside ChatGPT and explore why it can perform so well at producing meaningful text. This Study Group is based on a best-selling book by Stephen Wolfram and provides an accessible and engaging explanation for the success of ChatGPT. Participants are encouraged to read the book before coming to this Study Group.

Exploring AI Foundations with Wolfram Tools

Instructor Led | FREE

Certification Levels: CompletionLevel 1Level 2

This three-part course sequence will get you up to speed on basic machine learning concepts as well as show you how to use Wolfram tech for machine learning projects. The series meets for three separate class sessions and offers additional access to instructors.

Introduction to Electric Circuits

Interactive Course | FREE

Requirements: This course requires high-school level physics, algebra and basic calculus.

Certification Levels: CompletionLevel 1

Explore the fundamentals of electric circuits in this interactive course using Wolfram Language and Wolfram System Modeler. User-friendly diagrams, visualizations and models intuitively demonstrate how electric circuits behave. The course covers circuit components, basic theoretical concepts and methods for analysis. The final section of the course focuses on operational amplifiers.

Wolfram Language and LLMs

Instructor Led | FREE

Certification Levels: Completion

Modern LLMs can be incorporated into traditional computational workflows and used to power programming operations. This course will show you different ways you can use LLM technology alongside Wolfram Language, including how to use the conversational interface of Chat Notebooks and the programmatic operations possible with LLM functions.

Daily Study Group: An Elementary Introduction to Wolfram Language

Special Event | FREE

Certification Levels: CompletionLevel 1

Learn to use Wolfram Language and apply modern computational thinking with lessons from the interactive open course and the accompanying book by Stephen Wolfram, now in its third edition. Wolfram certified instructor Rory Foulger leads this group with assistance from Wolfram education programs staff.

Daily Study Group: Introduction to Complex Analysis

Special Event | FREE

Certification Levels: CompletionLevel 1

This Daily Study Group introduces you to the properties and applications of complex numbers and functions with the help of visualization and computation tools in Wolfram Language. The first three sessions cover the complex plane, complex numbers and analytic functions. Later sessions focus on complex integration, the residue theorem and applications. The lessons used in this Study Group are taken from the upcoming Wolfram U course Introduction to Complex Analysis.

Hands-on Start to Wolfram Mathematica Training Tutorials

Special Event | FREE

Certification Levels: AttendanceLevel 1

Join a free online training session to learn different ways to interact with Mathematica—enter queries through free-form input and Wolfram Language, create notebooks, perform symbolic and numeric calculations, generate 2D and 3D graphics, create an interactive Manipulate, analyze data and turn your notebook into an interactive presentation. This is an exciting opportunity to learn directly from the authors of the book Hands-on Start to Wolfram Mathematica and Programming with the Wolfram Language and ask questions during the interactive Q&A. Participants will need access to either Mathematica for the desktop or Mathematica Online to utilize the hands-on aspects of this training.

Introduction to Finite Mathematics

Interactive Course | FREE

Requirements: This course requires no prior knowledge of Mathematica or Wolfram Language. Prerequisites for finite mathematics include Algebra I (elementary algebra) and Algebra II (intermediate algebra).

Certification Levels: CompletionLevel 1

Finite mathematics has many real-world applications and is used in business, economics, social sciences and biology. The topics in this course are commonly found in college courses on finite mathematics.

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.

Introduction to Neural Networks in Wolfram Language

Instructor Led | FREE

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

Certification Levels: Completion

This course provides an introduction to the state-of-the-art Neural Net Framework in Wolfram Language. Learn about the Neural Net Repository and transfer learning, as well as how to train, test and look inside a neural net.

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.

Quick Start to Wolfram Tech

Instructor Led | SEE COURSE SCHEDULE

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

Certification Levels: Completion

This course introduces core technologies for getting started quickly with the Wolfram technology stack. Learn to work with Wolfram Notebooks in the cloud as well as on your desktop and familiarize yourself with the syntax and programming fundamentals of Wolfram Language. Scheduled as online and in-person classes, this course provides comprehensive instruction guided by a live instructor. No prior experience with Wolfram Language is required. Certificate of course completion available.

Wolfram Language Programming Proficiency

Instructor Led | FREE

Requirements: This course sequence does not require experience with Wolfram Language to start; it is suitable for those with introductory-level skill in any programming language.

Certification Levels: CompletionLevel 1Level 2

This three-part course sequence is organized especially for those wanting comprehensive instruction and preparation for Wolfram Language Level 1 and Level 2 certifications and for anyone wanting to further develop their Wolfram Language programming skills and learn about interfaces and deployment as well as best practices for working with data and developing packages.

A Guide to Programming with Wolfram Language

Interactive Course | FREE

Requirements: This course requires basic working knowledge of Wolfram Language

Certification Levels: CompletionLevel 1

Go beyond the basics of programming in Wolfram Language. Learn how to write more complex programs in different programming styles as well as utilize flow control primitives and other features of this high-level programming language. Wolfram Language has a wealth of built-in functions that require little or no programming, but there are special applications that require programming to get the code to do things that go beyond those built-in capabilities. This course offers a collection of useful tips and technical details for intermediate-level programmers.

Can I Spot a Cheat?

Interactive Course | FREE

Requirements: This course requires basic working knowledge of the Wolfram Language, common data visualisations (histograms) and empirical and probability distributions.

Certification Levels: CompletionLevel 1

Being able to measure variations in data and identify abnormal variation is an important skill in many fields. In the financial sector, for example, fraudulent behaviour can cost huge sums of money. In this Computational Thinking module, you will learn how to recognise patterns in data that differ “significantly” from the norm and learn how to provide evidence that the source of one dataset is different to another. You will learn how to use significance levels to quantify how unexpected the patterns or differences were, ultimately writing and interpreting your own hypothesis test.

Cause or Correlation?

Interactive Course | FREE

Requirements: This course requires basic working knowledge of the Wolfram Language, common data visualisations (histograms) and statistics (mean, median).

Certification Levels: CompletionLevel 1

Knowing how one variable affects another is important in many instances in real life, from medical diagnoses to environmental impacts or financial trends. In this Computational Thinking module, you will learn about dependent connections between variables, the possible cause(s) for such dependencies and how these are often misused in the media to make claims that are incorrect—particularly about how adopting one behaviour can cause something positive or negative to happen.

Daily Study Groups

Special Event | FREE

Certification Levels: CompletionLevel 1

Wolfram Daily Study Groups are fun, directed, incremental learning resources for building computational competence. Study Groups offer academic and professional development opportunities for anyone interested in expanding their skillset. A Wolfram instructor guides each session by sharing short lessons, polling the group to review key concepts, introducing practice problems and answering questions. Certificates of program completion are available to engaged participants, with additional opportunities for Level 1 proficiency certifications offered for select topics and areas of study.

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.

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.

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.

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.