All Classes and Courses

Introduction to Linear Algebra

Interactive Course | FREE

Requirements: This course requires no prior knowledge of Mathematica or the Wolfram Language. Prerequisites for linear algebra include algebra, elementary geometry and trigonometry.

Certification Levels: CompletionLevel 1

Get a comprehensive introduction to fundamental concepts in linear algebra with these video lessons and interactive notebooks. Follow along with the examples in the Wolfram Cloud and use the material to prepare for courses in data science, engineering and other fields. The course starts with linear equations and matrices, followed by determinants and eigenvalues, and then moves on to inner products and the singular value decomposition. Application sessions are included to show uses of linear algebra in the real world. Exercises and quizzes are provided for self-paced assessment.

Introduction to Machine Learning (Study Group Sessions)

Archived Event | FREE

Join our Daily Study Group to review the first six chapters of Etienne Bernard's book, Introduction to Machine Learning. A Wolfram U instructor guides each session by summarizing the chapter, walking through code examples, polling the group to review key concepts, working on selected exercises and answering questions. Participants are encouraged to read the book chapters before coming to each session.

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 Multivariable Calculus

Interactive Course | FREE

Requirements: This course requires basic working knowledge of Mathematica or Wolfram Language. The prerequisite for multivariable calculus is single-variable calculus.

Certification Levels: CompletionLevel 1

This comprehensive multivariable calculus course uses state-of-the-art Wolfram Language functionality for the computation and visualization of concepts, making this elegant body of mathematical knowledge easy and fun to learn. Multivariable calculus extends the notions of limits, derivatives and integrals to higher dimensions.

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 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.

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.

LLM Agents for Modeling Group Dynamics

Archived Event | FREE

In this colloquium, you will see agent-based simulations applied to the study of many kinds of groups, from classrooms to international relations. You will also see some general frameworks for creating LLM-based agents. Works presented in this colloquium are conducted in a variety of programming languages, any of which are compatible with Wolfram Notebooks.

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.

Mastering Manipulates and Palettes for Easy User Interfaces

Video Course | FREE

Wolfram Language offers a rich environment with a variety of built-in tools for building and automating dynamic and interactive interfaces. You can easily deploy and share apps, notebooks, palettes and other interfaces within Wolfram Notebooks or on the Wolfram Cloud.