This Wolfram Training on-demand course covers multibody modeling and simulation with Wolfram SystemModeler using a joystick design project.

In this Wolfram Training on-demand course, you'll learn how to best use Mathematica's numerics functions in advanced settings. Topics include techniques and best practices for using multiple numerics functions together, ...

Mathematica takes advantage of symbolic computation and exact numbers when solving numerical problems. Get a look at Mathematica's powerful "hybrid symbolic-numeric" methods in this Wolfram Training course.

Learn how to incorporate engaging digital content into physics classrooms with Mathematica, Wolfram|Alpha, and other Wolfram technologies. This Wolfram Technology for STEM Education: Virtual Conference for Education talk demonstrates ...

Mathematica provides numerous functions for describing and visualizing properties of data. This Wolfram Training course covers shape statistics, measures for multivariate data, charts, and plots.

This Wolfram Training on-demand course gives a comprehensive look at statistical distributions in Mathematica, including functions for constructing or deriving new distributions, automated estimation of distribution parameters, and goodness-of-fit testing ...

Mathematica's framework for hypothesis testing includes parametric and nonparametric tests of location, variance, or scale. Additional topics covered in this Wolfram Training on-demand course include functions for common named tests, ...

Model fitting and analysis topics covered in this Wolfram Training on-demand course include Mathematica's framework and functionality for linear and nonlinear regression; logit, probit, and other generalized linear models; and ...

Get an overview of Mathematica's new high-level functions for probability and statistics and learn how to work with its large collection of built-in distributions in this Wolfram Training course.

Get an introduction to the HPC and grid computing functionality in Mathematica in this Wolfram Training screencast. The presentation covers a few examples, discusses applications within education work groups, and ...

Mathematica provides a powerful graphics language for general use and highly sophisticated visualization. This Wolfram Training course covers topics such as lighting control, camera setup, texture, and more.

This Wolfram Training on-demand course provides an overview of some of the new statistical visualization functionality in Mathematica 8. Topics include visual inspection of the shape of data and comparisons to ...

This Wolfram Training course provides an overview of some of the new statistical visualization functionality in Mathematica 8. Quantile plots, box-and-whisker plots, probability plots, and distribution charts are covered.

Wavelet analysis has been applied to a broad range of fields. In this Wolfram Training on-demand course, examples are presented from applications including financial time series, edge detection and denoising ...

This Wolfram Training on-demand course covers continuous, discrete, and stationary wavelet transforms, as well as wavelet algorithms and visualizations.

For financial analysts, it takes a considerable amount of effort to gather and validate data, perform statistical or pricing analysis, and generate reports that are easily understood by clients or ...

This course from the Wolfram SystemModeler Virtual Conference 2012 focuses on analyzing model equations and simulation results with Mathematica. You'll also learn about the link between Mathematica and SystemModeler.

This Wolfram Training on-demand course provides an introduction to the BioChem library and the Systems Biology Add-On and teaches you how you can build, simulate, and analyze biochemical models using ...

This Wolfram Training on-demand video covers core concepts of the Modelica language, which is used by Wolfram SystemModeler. You'll learn how key principles of the language are used in modeling ...

Through multiple examples, this Wolfram Training on-demand course teaches you how to use SystemModeler to develop models of complex systems using drag and drop. You'll also learn how you can ...