All Classes and Courses

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.

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.

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.

Introduction to Neural Networks

Video Lesson | FREE

Learn about the properties of neural networks, their component layers, how to combine operations in a chain or graph container and how to train a network using the built-in functions of the Wolfram Language. See the use of encoders and decoders for automatically processing input and output to a network. Follow along step by step as we build a digit classifier from scratch, train a neural network and evaluate its performance.

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.

Introduction to Parallel Computation in the Wolfram Language

Video Lesson | FREE

This video provides an introduction to parallel computing functionality in the Wolfram Language. Learn how to get the most out of the computing kernels available to you and why you never have to choose between speed and accuracy. We will look at a few examples, discuss applications and learn possible ways to scale across available clusters or machines. The class is for those who have an interest in parallel computing with the Wolfram Language.

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.

Introduction to Quantum Computing in Wolfram Language

Archived Event | FREE

This archived webinar shows a beginner's guide to quantum computing and the Wolfram Quantum Computation Framework. Learn about the basic principles of quantum mechanics and how it extends to the world of traditional computation.

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.

Introduction to the Wolfram Quantum Computation Framework
(Study Group Sessions)

Archived Event | FREE

Follow these Daily Study Group sessions for an introduction to the Wolfram Quantum Computation Framework and how to use it in quantum computing. The foundation of the framework is a high-level symbolic expression representation of gates, unitaries, measurements, CPTP channels and so on. The framework is intuitive and flexible enough to model higher-order processes, such as quantum switches, using the several named states and operators built into the framework. Topics include basic concepts of quantum computation, including quantum states, transformations, algorithms, operators, gates, circuits and how to use Wolfram Language to run them on quantum hardware. You will learn how to simulate a quantum computer that operates based on the laws of quantum mechanics with Wolfram Language.

Introductory Concepts of Blockchain Mining

Video Lesson | FREE

This lesson explores how and why blockchains are mined.

Introductory Concepts of Control Systems

Video Lesson | FREE

Requirements: Some experience with control systems is recommended for the course.

This video introduces the concepts and Wolfram Language functions used to model a dynamic system. Topics include the construction and manipulation of state-space and transfer function models, system properties, system interconnections and simulations.

Joystick Design: Multibody Modeling and Simulation

Video Lesson | FREE

Requirements: Some experience with System Modeler is recommended for the course.

In this video, a mechanical model of a joystick is developed. This is a 3D multibody model with custom subcomponents. The video focuses on studying and comparing the performances of different self-centering mechanisms for the joystick by simulating and visualizing the model.

Learn to Use a Notebook with Natural Language Input

Video Lesson | FREE

Natural language processing means communicating with computers with the same words and syntax you would use in everyday, conversational speaking; specific programming syntax is not required. This video shows you how to quickly get started coding in the Wolfram Language by using natural language input.

Learning about LLMs Webinar Series

Archived Event | FREE

Learn about large language models (LLMs) like ChatGPT and understand how they work with the help of a symbolic neural net framework. We take a look at interesting applications and show how the computational power of Wolfram Language makes it a unique and valuable tool for working with LLMs. The series begins with a quick start to Wolfram Language tools for LLMs and ends with a panel discussion with Wolfram experts.

Learning from Input and Output: Supervised Learning

Video Lesson | FREE

Predict and Classify are highly automated functions in the Wolfram Language for supervised learning tasks. This video shows how these functions can be used to quickly create a simple interpretative model from the input data or customized for a specific task by setting options like Method and PerformanceGoal. It discusses how trained classifier models can be evaluated using metrics like Accuracy and ConfusionMatrix. This class is suitable for beginners. No previous knowledge of machine learning is required.

Learning to Tackle Real-World Computer Vision Applications

Video Lesson | FREE

How can you apply the deep learning framework integrated in the Wolfram Language for solving real-world image processing applications? This class explores some of the depth of the Wolfram Language's neural net framework capabilities and shows how the trained networks can be tweaked to suit a wide range of complex image analysis tasks. With the help of examples, you will gain practical insights into effectively leveraging neural nets for your own applications.

Localizing Variables in Notebooks

Video Lesson | FREE

Global variables can create conflicts with future calculations using the same variable names, so it is often helpful to limit variables to run once or localize them. This video will show you several ways to localize variables and prevent global variables from interfering with past or future code.

Machine Learning Basics

Video Course | FREE

Follow this video series to learn about machine learning with the help of the Wolfram Language. Start with supervised learning tasks like classification and regression and move on to unsupervised learning tasks such as clustering, feature extraction and dimension reduction. Next, take a peek into active learning and generative learning from sequences. Finally, discover the built-in pre-trained models available in the Wolfram Language for specific machine learning tasks like image identification, text recognition, sentiment classification and more.

Machine Learning Webinar Series

Archived Event | FREE

Learn how the new generation of neural nets in the Wolfram Language excels in image processing, audio analysis and natural language processing tasks. This three-part webinar series walks you through the Wolfram neural net framework and demonstrates some state-of-the-art applications.

Mathematica and Wolfram Language for
Mathematics Research and Study (Study Group Sessions)

Archived Event | FREE

This Daily Study Group is designed especially for mathematics graduate students and research professionals but covers topics of interest to an even wider audience. This Study Group will help you make the most of the built-in functionality available in Wolfram Language for advanced studies and research in mathematics—from special functions and visualization to solving differential equations, as well as number theory, combinatorics, differential geometry and more. Participants are encouraged to prepare for this Study Group by attending a Hands-on Start to Mathematica training tutorial.

Mathematica for the Calculus Classroom

Video Lesson | FREE

Mathematica is the educational software standard for the first-year calculus classroom, allowing students to visualize concepts and develop skills essential for other STEM classes. This video demonstrates easy ways to integrate interactive activities, visualizations and other teaching tools into first-year calculus lessons with the use of Wolfram technologies. Learn how natural language input, a predictive interface and point-and-click palettes allow students to begin using Mathematica and the Wolfram Language without learning syntax.

Mathematica: A Speed Date

Video Lesson | FREE

This course provides a whirlwind tour of Mathematica, showing how decades of research in computation, language and development together with well-thought-out design principles and solid software engineering have guided us in creating a modern computing platform. Key features, including dynamic interactivity, natural language input and numerical/symbolic computation, as well as applications in image processing, control systems, GPU computation and more, will be explored.

Model Fitting and Analysis

Video Lesson | FREE

This class explores the built-in Wolfram Language framework for linear and nonlinear regression, logit, probit and generalized linear models, as well as optimization functions, linear algebra functions and a package for analysis of variance (ANOVA). The class assumes basic familiarity with the Wolfram Language and statistics concepts.