All Classes and Courses

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 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.

New in Wolfram Language 13.1 Webinar Series

Archived Special Event | FREE

Learn about what's new in the latest release of Wolfram Language in this three-part webinar series. The first session includes an overview of the latest functionality in Version 13.1 as well as a presentation on the new notebook toolbar and other front end improvements. The second webinar covers what's new in calculus and algebra, with a focus on fractional calculus. The third webinar in the series shares updates in machine learning, new video functions and the tree construct.

Numerical Computing: Advanced Techniques

Video Lesson | FREE

Learn best practices for using advanced numeric functionality in the Wolfram Language. Topics include techniques for combining numeric functions, advanced numeric features and understanding precision and accuracy. This class is for those who have experience with Wolfram Language numeric functions and are ready for advanced control and customization features.

Solving ODEs and DAEs with NDSolve

Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires basic working knowledge of Wolfram Language and of differential equations.

Certification Levels: Completion

This course covers techniques for solving ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) using Wolfram Language. It introduces the built-in Wolfram Language function DSolve for finding symbolic solutions to differential equations and the built-in function NDSolve, a general numerical differential equation solver. Related functions and the options associated with them are demonstrated with examples.

Solving PDEs with NDSolve

Instructor Led | SEE COURSE SCHEDULE

Requirements: This course requires basic working knowledge of Wolfram Language and of differential equations.

Certification Levels: Completion

This course introduces Wolfram Language built-in functionality for solving partial differential equations (PDEs). Topics include the numerical method of lines, boundary conditions, the Finite Element Method (FEM) and the use and construction of meshes.

Solving PDEs with Symbolics and Numerics

Video Course | FREE

This video course provides a thorough introduction to solving partial differential equations (PDEs) in the Wolfram Language both symbolically and numerically. You'll learn how to solve boundary value problems for classical PDEs and obtain solutions for the Schrödinger and other modern PDEs using the Wolfram Language function DSolve and its numerical counterpart NDSolve. You'll also discover how to solve PDEs over regions, find eigenvalues and eigenfunctions over regions with DEigensystem and NDEigensystem and use the latest Wolfram Language functionality to create better PDE models and gain a deeper understanding of your physics and engineering designs.

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.

Symbolic and Numeric Computation

Video Course | FREE

This video course illuminates the powerful combination of symbolic and numeric computing available in the Wolfram Language. See how the numerical functions and methods in the Wolfram Language benefit from symbolic computation with exact numbers, where purely approximate methods may fail. Tips and techniques for using multiple numerical functions together, along with advanced numeric features, are included.

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.

Wavelet Concepts

Video Lesson | FREE

Wavelets decompose a signal into approximations and details at different scales, making them useful for applications such as data compression, detecting features and removing noise from signals. This class explains some of the theory behind continuous, discrete and stationary wavelet transforms and demonstrates how the Wolfram Language and its built-in functions can be used to construct, compute, visualize and analyze wavelet transforms and related functions. Familiarity with Fourier transforms and data smoothing methods is recommended for this class.