All Classes and Courses

Geo Computation

Video Lesson | FREE

There are several features and functions in Wolfram Language that allow you to perform computations on maps and geographic objects. This video lesson will explore some of the functions used in geo computation. You will learn about using vector maps with coordinate points, tiles, projections and different types of boundaries and labels as well as other components of map objects. Examples will also demonstrate the geometry behind vector maps and geo primitives.

Geography in Wolfram Language

Video Course | FREE

These videos offer an introduction to built-in geography functionality in Wolfram Language. Learn about making and styling maps, creating high-resolution maps of any region of the world and using multiple styles for vector renderings. The included examples showcase how to access built-in, curated geophysical and socioeconomic data, and they also demonstrate how to visualize the data in different ways using maps.

Getting Started with AI: A Beginner's Guide to Automated Classification, Predictions and Computer Vision

Archived Event | FREE

Certification Levels: Attendance

This webinar explains the basics of supervised and unsupervised machine learning in Wolfram Language using illustrative examples in a range of subjects. Specific machine learning topics include classification, prediction, feature extraction and neural networks, as well as pitfalls and pro tips in processing data.

Graphs and Networks: Concepts and Applications

Video Lesson | FREE

Graph theory and network analysis are used to model and analyze connections between entities in the real world—the World Wide Web, social networks and airline routes, just to name a few. The Wolfram Language provides a unified computational perspective from across multiple disciplines in the application of graphs and networks. This video class covers the fundamental properties of graphs and explores workflows available for network modeling and analysis.

Hypothesis Testing

Video Lesson | FREE

The Wolfram Language includes a framework for hypothesis testing. This class explores parametric and nonparametric tests of location, variance or scale, as well as distributional goodness of fit. This class assumes basic familiarity with the Wolfram Language and statistics concepts.

Integrating the Wolfram Data Framework

Video Lesson | FREE

Learn how to improve and extend your external data sources with the built-in data framework in the Wolfram Language. An overview of the framework's decade-long development history is provided, from the original Wolfram Language data functions to the launch of Wolfram|Alpha and the availability of the Wolfram Data Repository. Explore the extensive set of built-in entities, create lists from imported raw data, build datasets, visualize data and learn how to integrate the computational power of the Wolfram Language into your projects.

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 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.

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.

Modeling Market Prices Using Stochastic Processes

Video Lesson | FREE

This video talks about the modeling of stock prices, portfolios, index returns, bonds, option prices, exchange rates and conditional risk using stochastic processes such as the ARCH process, vector-valued time series, the ARMA model, Chen's model, the Ito process and Merton jump diffusion. In doing so, it shows that the Wolfram Language contains a complete collection of stochastic processes and statistical distributions that can be fitted to a wide array of market phenomena.

Modeling with Statistical Distributions

Video Lesson | FREE

The Wolfram Language has the largest collection of parametric and nonparametric distributions, supporting high-level functions for probability and statistics. This class demonstrates application of these functions for modeling and analysis in statistics. Presentation topics also include automated probability and statistics superfunctions, streamlined processes for parameter estimation and goodness-of-fit testing, working with built-in distributions or creating your own from data or other distributions, and statistical visualization functionality.

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

New in Wolfram Language 13.3 Webinar Series

Archived Event | FREE

There's a lot that's new in Version 13.3 of Wolfram Language and Mathematica, including a built-in subsystem around LLMs. Since the launch 35 years ago of Version 1.0, the long-term objective at Wolfram has always been to build a full-scale computational language that can represent everything computationally, in a way that’s effective for both computers and humans. This three-part webinar series features Chat Notebooks, LLMFunctions, math milestones, AR-VR publishing, interactive visualizations and system models for real-world data. Our experts show you ways in which our language has become a unique bridge between humans, AIs and computation.

New LLM Functionality in Wolfram Language

Archived Event | FREE

Learn from Wolfram Notebook and repository experts about LLM technology built into Wolfram Language 13.3. In this archived webinar series, you'll see the new integrated LLM functions, Chat Notebooks and easily available prewritten prompts stored in the new Wolfram Prompt Repository.

Notebook-based Workflows for Data Explorations
(Study Group Sessions)

Archived Event | FREE

Discover the different workflows included with Wolfram's extensive documentation system. Learn about the detailed, step-by-step recipes for the computational tasks needed to build more complex technical projects. These videos start with a brief introduction to Wolfram Notebooks and then quickly move to more practical tasks like importing data, creating visualizations and doing basic analysis. You will be instructed in utilizing the user-friendly notebook environment and the elegance of the Wolfram Language to quickly create interactive interfaces to aid your data explorations and visualizations.

Playing Around with Government Data in Wolfram Language

Archived Event | FREE

In this recorded, three-part livecoding series, Christopher Wolfram shows how Wolfram Language can be used to analyze systematically curated data. Semantic interpretation combined with the ability to work with numerical as well as textual data provides a robust framework for data analysis. Dataset functionalities, along with visualization functions built into the language, help to explore various attributes of the data and to draw relevant conclusions. Example datasets are investigated; in particular, geo-computation capabilities of Wolfram Language are showcased to view the geographic distribution of a specific parameter.

Playing Around with Language Data in Wolfram Language

Archived Event | FREE

In this recorded, two-part livecoding series, Christopher Wolfram explores the linguistic data built into Wolfram Language, including multilingual dictionaries and information on word meaning, structure, usage and the relationship between words. Examples of word translation and transliteration in various languages are shown. The LanguageData symbol is used along with visualization and graphing functionality to gain linguistic insights.

Quantile and Box-Whisker Plots

Video Lesson | FREE

This class provides an overview of some of the statistical visualization functionality built into the Wolfram Language. Topics include visual inspection of the shape of data and comparisons to distributions and datasets. Quantile plots, box-and-whisker plots, probability plots and distribution charts are covered. The class is for those who have basic familiarity with the Wolfram Language and general statistical knowledge.

Statistical Analysis with Wolfram Language

Video Course | FREE

Analyze your data using a framework of model fitting and statistical analysis built into the Wolfram Language. Whether it is basic descriptive and exploratory statistics or advanced modeling with statistical distributions, you can follow this video course to gain an understanding of the statistical functionality available in the Wolfram Language. Topics covered include descriptive measures, transformations, basic clustering, statistical distributions, parameter estimation and hypothesis testing. Advanced topics on using optimization functions, linear algebra functions, analysis of variance (ANOVA) and generalized logit and probit linear models will also be explored.

Statistical Distributions

Video Lesson | FREE

The Wolfram Language includes extensive coverage for statistical distributions. This class explores the properties of derived distributions, probability distributions, mixture distributions and more. Other topics include random number generation and parameter estimation. This class assumes basic familiarity with the Wolfram Language and statistics concepts.

Using DatabaseLink with Wolfram Language

Video Course | FREE

Discover how to integrate your SQL database operations with the Wolfram Language using the built-in DatabaseLink toolkit. This three-part video series demonstrates how to query the database using either built-in Wolfram Language functions or SQL-style commands. You'll learn to create procedures and functions, work with result sets and use batch operations.

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 Wolfram Language, a dozen extensive and applicable explorations are carried out, with visualization guiding the way. Discover the richness of curated, computable data about millions of entities and hundreds of entity types built into Wolfram Language. Learn to leverage curated data and a plethora of data visualization functions to discover a revolutionary new way of doing data science: localized, organized and extensive.

Wavelet Analysis

Video Course | FREE

Understand your data better with wavelet analysis. These videos offer an in-depth introduction to wavelets, starting from basic concepts and continuing into advanced methods and uses. You'll learn the essentials of wavelet decomposition of signals—including different types of wavelet transforms, common algorithms, visualizations and interpretation of results—with a focus on general applications in signal processing and time series analysis. Examples are presented from financial analysis, edge detection, denoising of images, data compression and more.

Wavelet Applications

Video Lesson | FREE

This video class presents examples from a variety of applications, including financial time series, edge detection and denoising of images, thresholding, image and data compression and image fusion. Familiarity with Fourier transforms and data smoothing methods is recommended for this class.