All Classes and Courses

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 the 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. We will start with regression, classification, clustering and anomaly detection, and from there, we'll move on to the state-of-the-art Neural Net Framework. Examples using the Wolfram Neural Net Repository are shown with instructions for building your own neural networks from scratch. Basic familiarity with Wolfram Language or introductory-level skill in any programming language is recommended.

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 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 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 System Modeling with Wolfram Language

Video Course | FREE

This four-part video course shows how to locate, import and build models for simulating and analyzing all kinds of systems with Wolfram Language. Basic familiarity with the Wolfram Language is recommended.

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

Archived Special 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.

Learn to Use a Notebook in the Wolfram Cloud

Video Lesson | FREE

Watch this short video to learn how you can use Wolfram Notebooks in the cloud within your web browser.

Learn to Use a Notebook on Your Desktop

Video Lesson | FREE

Watch this short video to learn how you can use Wolfram Notebooks on your desktop.

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.

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 approach of using 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 the high-level Wolfram Language to get real, quantifiable answers to the full range of data science problems.

New in Wolfram Language 13.2

Archived Special Event | FREE

Learn about new functionality for astro computation, as well as substantially enhanced functions for machine learning, trees, mathematical computations, video and more. This webinar shows how the updates relate to the areas of programming, images and visualization, data science, mathematics, system modeling and astronomy.

Optimization of Portfolios and Investments

Video Lesson | FREE

There are many ways to optimize portfolios. In this video lesson, you will use built-in Wolfram Language functions to create optimal asset mixes for portfolios with certain sets of risk tolerance. The optimization functions used in the demonstrated analysis include quadratic optimization, conic optimization, linear optimization, linear fractional optimization and second-order cone optimization. The lesson also discusses performance metrics, such as asset correlation and forecasted returns, to evaluate a portfolio.

Quick Start to Wolfram Tech

Instructor Led | SEE COURSE SCHEDULE

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

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 the Wolfram Language. Limited registration and small class sizes allow for interaction with your Wolfram certified instructor. No prior experience with the Wolfram Language is required. Certificate of course completion available.

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 methods of analysis 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.

Using Notebooks Effectively

Video Lesson | FREE

This class introduces Wolfram Notebooks, structured documents that can include text, runnable code, dynamic graphics, user interfaces and more. The hierarchical structure of notebooks is explained, with discussion of cells, cell brackets, styling options, keyboard shortcuts and the Wolfram Predictive Interface that enables a streamlined workflow. Attributes of notebooks that aid in programming are presented, such as the ability to track the history of computation, support for rich data embedding and Iconize functionality. This class is suitable for beginners who are new to Mathematica and includes tips for notebook power users.

Video Creation, Editing and Analysis Using Wolfram Language

Video Course | FREE

Learn how to create, edit, process and analyze videos with Wolfram Language. You can capture videos using webcams, or create them using files, images, existing video clips or built-in functions that create individual frames. Then learn how to cut, alter and compose video footage with dedicated functions for video editing and processing. You can also learn how to enhance video quality, perform color correction and combine videos and images using overlays and grids. This course includes examples of applying machine learning and neural networks to process videos and recognize objects, faces, speech or actions in the videos.

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 the Wolfram Language, a dozen extensive and applicable explorations are carried out, with visualization guiding the way. Leverage the richness of the Wolfram Language's curated data and a plethora of data visualization functions to discover a revolutionary new way of doing data science: localized, organized and extensive.

Wolfram Language Programming Fundamentals

Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires basic working knowledge of Wolfram Language or introductory-level skill in any programming language.

Certification Levels: CompletionLevel 1

This course teaches the fundamental concepts of programming in Wolfram Language. It features concise lecture sections, self-check exercises and tips for writing Wolfram Language code. Limited registration and small class size allow for interactive topic exploration and Q&A. Basic familiarity with Wolfram Language or introductory-level skill in any programming language is recommended.

Wolfram Notebooks for Teaching Chemistry

Video Lesson | FREE

Teaching chemistry in person and in hybrid and remote learning spaces remains challenging and nontrivial for educators at all levels. Access to reliable chemical data, molecular visualization and student computer literacy are just a few of the issues educators face. This video lesson discusses strategies and resources for meaningful interactive instruction and provides example electronic laboratory notebooks (ELN). Prior experience with Wolfram Notebooks is not required.

Wolfram Notebooks: Building and Sharing Technical Workflows

Instructor Led | SEE COURSE SCHEDULE

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

Certification Levels: Completion

In this course you will learn how to create Wolfram Notebooks, interactive and powerful computational documents. This course shows how you can combine the Wolfram Language with the notebook interface to express your ideas and develop technical workflows for data science, modeling, research, education and more. Discover how to build rich computational essays and presentations and publish to the cloud. No experience with Mathematica or the Wolfram Language is required.

Wolfram System Modeler: An Introduction

Video Course | FREE

This video course introduces the basic features needed to become an adept user of Wolfram System Modeler by guiding you through a series of exercises carefully prepared to teach drag-and-drop modeling techniques, creating model components and visualizing simulation results. The course also offers tips and tricks for working with the Model Center windows and views. This course requires no previous System Modeler experience and is also helpful to experienced users who would like to broaden their understanding of the system. Download the course materials, including a set of Wolfram Notebooks and a System Modeler package, and follow along with the video tutorials.

Wolfram System Modeler: Introduction to the Modelica Language

Video Course | FREE

This video course introduces Wolfram System Modeler users to the basics of its underlying language, Modelica, and the Modelica Standard Library. Modelica is an open standard language specifically designed for modeling physical systems. In this course, you will learn basic language constructs, concepts behind model interfaces and basic modeling practices by working with Model Center in System Modeler.

Wolfram Technology in Action: Data Science Webinar Series

Archived Special Event | FREE

This three-part webinar series showcases a range of data science applications in the Wolfram Language, featuring talks from the 2019 Wolfram Technology Conference. Presentations highlight built-in Wolfram Language functionality for data analysis, modeling, visualization, automated reporting and machine learning. Topic areas include Twitter analytics, tidal flooding, computational taxonomy, video game AI planning and more.

Zero to AI in 60 Minutes

Video Course | FREE

Follow this video series to get started with machine learning in the Wolfram Language. Automated machine learning capabilities in the Wolfram Language and machine learning concepts are demonstrated with the use of examples. Start with the concept of supervised learning and three key techniques: classification, prediction and sequence prediction. Learn how to work with various types of data, select from predefined methods and interpret results. Common issues related to datasets and ways to address them are discussed. Move on to the concept of unsupervised machine learning tasks such as feature extraction, encoding and dimension reduction. Text and image classification examples are used to demonstrate these methods. Next, get an overview of the neural network framework integrated in the Wolfram Language. Finally, learn how to deploy developed models through APIs and web forms for use by external programs and individuals.