All Classes and Courses

Introduction to Electric Circuits

Interactive Course | FREE

Requirements: This course requires high-school level physics, algebra and basic calculus.

Certification Levels: CompletionLevel 1

Explore the fundamentals of electric circuits in this interactive course using Wolfram Language and Wolfram System Modeler. User-friendly diagrams, visualizations and models intuitively demonstrate how electric circuits behave. The course covers circuit components, basic theoretical concepts and methods for analysis. The final section of the course focuses on operational amplifiers.

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 Image Processing

Interactive Course | FREE

Requirements: This course requires basic working knowledge of the Wolfram Language.

Certification Levels: CompletionLevel 1

Make cutting-edge image processing simple with Wolfram Language. Learn the fundamentals of digital image processing, including image representation and classical operations on images. This course emphasizes practical applications and understandable explanations of how image operations work. Numerous examples are included to illustrate standard applications.

Introduction to Linear Algebra

Interactive Course | FREE

Requirements: This course requires no prior knowledge of Mathematica or the Wolfram Language. Prerequisites for linear algebra include algebra, elementary geometry and trigonometry.

Certification Levels: CompletionLevel 1

Get a comprehensive introduction to fundamental concepts in linear algebra with these video lessons and interactive notebooks. Follow along with the examples in the Wolfram Cloud and use the material to prepare for courses in data science, engineering and other fields. The course starts with linear equations and matrices, followed by determinants and eigenvalues, and then moves on to inner products and the singular value decomposition. Application sessions are included to show uses of linear algebra in the real world. Exercises and quizzes are provided for self-paced assessment.

Introduction to Mathematica for Students and Teachers

Video Course | FREE

Certification Levels: Level 1

This video course provides an introduction to Mathematica for students, teachers and beginners of all kinds. It quickly covers a wide range of topics from algebra to calculus using examples, all delivered from the viewpoint of a highly skilled and experienced classroom teacher. It starts with the concept of a computational notebook and builds step by step to more advanced topics such as plotting, graphics and solving equations. The course includes techniques for entering mathematical notation using your keyboard and palette buttons and finding help using the Wolfram Documentation Center. The course is recorded by Ruth Dover, a math instructor and Wolfram Innovator who has taught thousands of students how to use Mathematica and Wolfram Language over the course of her career.

Introduction to Multivariable Calculus

Interactive Course | FREE

Requirements: This course requires basic working knowledge of Mathematica or Wolfram Language. The prerequisite for multivariable calculus is single-variable calculus.

Certification Levels: CompletionLevel 1

This comprehensive multivariable calculus course uses state-of-the-art Wolfram Language functionality for the computation and visualization of concepts, making this elegant body of mathematical knowledge easy and fun to learn. Multivariable calculus extends the notions of limits, derivatives and integrals to higher dimensions.

Introduction to Notebooks

Interactive Course | FREE

Requirements: This course requires no prior knowledge of Mathematica or the Wolfram Language.

Certification Levels: Completion

Wolfram Notebooks have been widely adopted as the modern environment for technical workflows. In this course, you will be introduced to these powerful and interactive documents for computation, programming, generating reports and creating presentations. Learn how to style notebooks and create interactive interfaces using built-in Wolfram Language functionality. Generate immediate results with the natural language queries and reach your audience on multiple platforms with universal deployment options.

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.

Introduction to Stochastic Processes for Finance Research and Trading

Interactive Course | FREE

Requirements: The course requires a basic understanding of both probability theory (in particular probability distributions) and linear algebra. This course requires minimal experience with Wolfram Language.

Certification Levels: Completion

Learn about modeling financial data with stochastic processes for quantitative research and trading from an expert in quantitative finance. Modeling stochastic processes helps you make sense of and predict outcomes in random data, such as stock prices.

Medical Image Processing and Computer Vision with Mathematica

Archived Event | FREE

Certification Levels: Attendance

You will learn how to import different file formats as well as preprocess images and cast models with Wolfram superfunctions to achieve tasks such as segmentation and classification.

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.

Networks and Graphs in Wolfram Language

Archived Event | FREE

Certification Levels: Attendance

Join us for our introduction to graphs and networks in Wolfram Language. This talk will demonstrate how to construct a graph object from scratch or from predefined data sources.

Parallel Programming in Wolfram Language

Webinar | FREE

Certification Levels: Attendance

Learn about the basics of parallel programming, optimization for a single kernel, the parallel computation architecture available in Wolfram Language for simultaneously utilizing multiple kernels and how to use Wolfram kernels with managed clusters.

Practical Programming with Wolfram Language

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: Completion

This course provides the knowledge, tools and guidance to efficiently create and maintain Wolfram Language projects. This course is designed for Wolfram Language users who are ready to move beyond the fundamentals and create their own programs and interfaces.

Programming and Development in Wolfram Language

Instructor Led | FREE

Requirements: This course requires understanding of the fundamental concepts of Wolfram Language programming and their applications.

Certification Levels: CompletionLevel 1Level 2

Learn about advanced programming and development concepts in Wolfram Language. This course is the third and final part of the programming proficiency sequence.

Signals, Systems and Signal Processing

Interactive Course | FREE

Requirements: This course requires basic working knowledge of the Wolfram Language.

Certification Levels: Completion

This course gives an introduction to the concepts, mathematics, principles and techniques of signal processing in linear, time-invariant (LTI) systems. The course covers analysis methods for both continuous-time and discrete-time signals and systems, presents sampling and gives an elementary introduction to filter design. Many everyday signal processing examples are included. The concepts and methods of signals and systems presented here play an important role in many areas of science and engineering, and therefore the course should be of interest to a broad range of students.

Statistics and Machine Learning: Better Together

Archived Event | FREE

Certification Levels: Attendance

This presentation demonstrates how the powerful symbolic nature of Wolfram Language makes the handling of statistical distributions simple, how automation can play a part in making machine learning accessible and how the two fields together can allow the utilization of some powerful and flexible tools.

That's Random! Or Is It?

Interactive Course | FREE

Requirements: No particular prior knowledge of randomness is required. Knowing how to interpret a bar chart and understanding the terms integer, 2D and 3D would be beneficial.

Certification Levels: Completion

From selecting lottery numbers to testing new medicines, making sure something is truly random is important business. In this Computational Thinking module, you will learn how to recognise randomness, understand what makes something truly random and see how sample size can affect your opinion of randomness. You will explore what random noises, images and shapes look like before going on to generate your own. By learning how to use code to generate these random outputs, you will learn about pseudorandomness—computers’ attempt at true randomness.

Time Series with Wolfram Language

Archived Event | FREE

Certification Levels: Attendance

This webinar introduces the Wolfram Language framework for computing with time series data. Starting from the basics of time series representation and simple transformations such as plotting, smoothing and resampling, the webinar also explores more advanced topics like forecasting, fitting random process models and simulating scenarios.

Turning Webpages into Data with Wolfram Language

Archived Event | FREE

Certification Levels: Attendance

Discover how to extract data from websites and seamlessly bridge data into the Wolfram environment—where the information is instantly ready for computation, visualization and deeper analysis. For this webinar, the only prerequisite is a basic understanding of Wolfram Language and HTML/CSS concepts.

Unstructured Data in Wolfram Language

Archived Event | FREE

Certification Levels: Attendance

Learn how to use automation to infer structure, remove noise and drive insight from unstructured sources using a variety of data types, including image, audio and video.

Wolfram High School Summer Research Program

Special Event | See Page for Details

Requirements: Students aged 14 to 17 who are excited about a STEM subject. A pre-program crash-course workshop is recommended for those without coding experience.

Certification Levels: Level 2

An intensive two-week program designed to advance high-school students' programming and problem-solving skills. Through a curriculum of active-learning activities, hands-on workshops and lectures, students explore the power of modern computation and deep dive into STEM fields while gaining mastery of Wolfram Language, computational thinking and research skills.

Wolfram Language Basics

Video Course | FREE

Certification Levels: Level 1

Learn the most important basics of Wolfram Language—no prior experience necessary. This course was created from the online sessions at a popular Daily Study Group series. The video lessons start by introducing you to computational notebooks and covering the ideas of basic functional programming and visualization. Following videos dive deeper, covering symbolics, numerics and more advanced programming, enabling you to start working with your own data. The remaining videos greatly expand the scope of the material while remaining accessible to beginners, allowing anyone to start working with machine learning, media files, cloud publishing and deployment. By the time you are done, you will feel right at home in the notebook environment and be ready to start working with any kind of data or calculation you can imagine. This video course provides excellent preparation for the Wolfram Language Level 1 certification.