All Classes and Courses

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 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 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 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.

A Guide to Mathematics with Wolfram Language

Video Course | FREE

Learn about using Wolfram Language for a broad range of mathematics. You can do symbolic, numeric and algebraic calculations, as well as geometry and calculus. These videos will introduce tools for solving and manipulating equations and calculations, including logical, Boolean and geometric expressions. Various built-in functions to help you solve polynomial and linear equations as well as number precision and order of interpolation are discussed. The videos cover common applied mathematics topics, such as matrices, linear algebra, optimization and numerical calculus. More advanced applications like time series calculations, image processing functionality and some data management are featured in later videos.

Advanced 3D Graphics in the Wolfram Language

Video Lesson | FREE

The Wolfram Language provides incredibly flexible and powerful graphics primitives for general use as well as for highly sophisticated visualization. This class presents a walk-through of 3D graphics options, including lighting control, camera setup and surface properties such as opacity and texture. Hints and pro tips to make your graphics interactive, dynamic and more efficient are also included. This class is for those who are experienced with Wolfram Language graphics functionality.

Advanced Programming

Video Course | FREE

If you are serious about software development in the Wolfram Language, this video course is for you. Pick up tips for writing fast code and learn about programming within the Wolfram Workbench IDE, including useful information on creating application-specific documentation for your Wolfram Language app and for embracing a test-driven development style. Finish with a quick look at web-based development for deploying applications to the cloud.

An Overview of Blockchain Design

Video Lesson | FREE

This class will help you identify the basic design considerations and some of the common approaches to problem solving in blockchain ecosystems.

An Overview of Deep Neural Networks Applications

Video Lesson | FREE

A high-level overview of deep neural networks applications. This class shows many examples of problems that can be solved with deep neural nets, including image classification, sequence prediction, speech recognition and question answering. The class concludes with a case study of how the ImageIdentify function was built on the Wolfram neural network framework. This class assumes some familiarity with the Wolfram Language and neural network concepts.

An Overview of Machine Learning in Wolfram Language

Video Lesson | FREE

This video gives an overview of the highly automated machine learning framework in Wolfram Language, which allows you to do so much with just a few lines of code. You will learn about high-level functions that are task oriented and can be applied to a variety of input such as text, images and numeric data. Examples include building a simple image search and classification system, topic classification of text and prediction of sale prices of homes.

Analysis and Design of Control Systems

Video Lesson | FREE

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

This course shows how to work with the control systems objects created in Wolfram Language. Topics include frequency domain analysis, state space analysis, and state space design.

Analyzing Text to Answer Fact-Based Questions

Video Lesson | FREE

This video class introduces FindTextualAnswer, the built-in Wolfram Language function that combines well-established techniques for information retrieval with state-of-the-art deep learning techniques to find answers in text. FindTextualAnswer analyzes text and can yield several possible answers, the probabilities of those answers being correct and other properties that can help you understand the context of each answer in response to your specific, fact-based questions. In this class, you will learn the scope of this function and some practical applications, as well as gain insights into how it is implemented and the deep learning approach available in the Wolfram Language.

APIs, Forms and Web Applications in the Wolfram Cloud

Video Lesson | FREE

This class shows how to generate web content using the Wolfram Language, including static and interactive webpages in the Wolfram Cloud. The video demonstrates how to create and deploy APIs and web forms. Security options and permissions for deployed webpages are discussed. Real-world examples include calling Wolfram Cloud APIs from a web application and hosting it in the Wolfram Cloud.

Applying Neural Networks Webinar Series

Archived Event | FREE

This webinar series takes you on a deep dive into the latest workflows for building, training and evaluating neural networks. See how neural net models are used to solve complex processing tasks involving image, audio and natural language data. Sessions include hands-on demonstrations, showing real-world applications using the latest built-in Wolfram Language functionality and neural net models. Pretrained models from the Neural Net Repository and customized models are shown.

Asymptotics: The Art of Approximation

Video Lesson | FREE

This video class introduces asymptotics as an alternative to exact and numerical methods. The class opens with some historical notes and explains how asymptotic methods can be useful. Examples shown include applications for the solution of differential equations, integrals, difference and algebraic equations and the computation of sums of infinite series. Learn how to use the built-in asymptotic functions in the Wolfram Language to solve hard problems that cannot be solved exactly.

Automated Data Science

Video Course | FREE

Learn about machine learning functions that have been tuned to automate the data science process. This video course shows examples of using computation with data that go beyond traditional statistical methods and highlight the role of automated modeling in the modern data science process. Automated classification and regression functionalities are demonstrated using the built-in Wolfram Language symbols Classify and Predict.

Automated Structure Discovery: Unsupervised Learning

Video Lesson | FREE

The Wolfram Language has functions that work directly on many types of data and automatically extract some sort of structure from it. FindClusters, ClusteringTree and ClusteringComponents are examples of functions that perform the unsupervised learning task of clustering. ClusterClassify classifies new samples based on information gathered from unlabeled input data via clustering. Other functions like FeatureExtract, FeatureNearest, FeatureSpacePlot and DimensionReduce provide tools for automatic exploration of the data in the feature space. This video introduces these functions to get you started on unsupervised machine learning tasks. It is suitable for beginners without previous knowledge of machine learning.

Basic Programming

Video Course | FREE

It is so easy to create programs in the Wolfram Language! Starting with a 60-second app, this video course shows techniques for attaching controls to your computations, making interfaces usable and beautiful, and interactively exploring everything from text and math to graphics and sound. Understand how to import data into the Wolfram System, as well as export your results in a variety of file formats. Finally, you'll try out the functional programming paradigm, with advice from our experts, to improve the performance of your programs.

Becoming a Data Curator

Video Course | FREE

Join a Wolfram|Alpha data scientist for this recorded, three-part livecoding series as they guide you in taking data from the web, importing and cleaning it, preparing it for computation in the Wolfram Language and uploading it to the Wolfram Data Repository.

Biodiversity Explorations with Machine Learning
(Study Group Sessions)

Archived Event | FREE

Learn to apply machine learning techniques and Wolfram Language functions to biodiversity data. These Study Group sessions begin by introducing you to biodiversity data access functions available with the entity framework built into the Wolfram Language and in the Wolfram Function Repository. Later sessions cover examples of classification, social media text analysis, audio processing of bird sounds and deploying a trained neural network image classifier to your mobile phone. Each session includes lessons, polls to review key concepts and practice problems.