All Classes and Courses

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.

Introduction to Elementary Algebra

Interactive Course | FREE

Requirements: This course requires no prior knowledge of Mathematica or Wolfram Language. Prerequisites for learning algebra are understanding basic math skills and fluency with basic math operations.

Certification Levels: CompletionLevel 1

Elementary algebra is a prerequisite for multiple mathematics and statistics courses, and a strong foundation in algebra can help you better understand more advanced math. This course introduces the basic concepts of algebra as well as common types of problems and how to solve them. Start with algebraic definitions and then move on to linear equations, linear inequalities, polynomials and quadratic equations. The instructor also discusses word problem examples in each section and walks through the steps to finding a solution.

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 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.

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.