All Classes and Courses

Quick Start to Wolfram Tech

Instructor Led | SEE COURSE SCHEDULE

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

Certification Levels: Completion

This course introduces core technologies for getting started quickly with the Wolfram technology stack. Learn to work with Wolfram Notebooks in the cloud as well as on your desktop and familiarize yourself with the syntax and programming fundamentals of Wolfram Language. Scheduled as online and in-person classes, this course provides comprehensive instruction guided by a live instructor. No prior experience with Wolfram Language is required. Certificate of course completion available.

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 methods of analysis 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.

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 the Wolfram Language, a dozen extensive and applicable explorations are carried out, with visualization guiding the way. Leverage the richness of the Wolfram Language's curated data and a plethora of data visualization functions to discover a revolutionary new way of doing data science: localized, organized and extensive.

Wolfram Language Programming Fundamentals

Instructor Led | SEE COURSE SCHEDULE

Requirements: This course does not require experience with Wolfram Language. It is a suitable course for those with introductory-level skill in any programming language who want to further develop Wolfram Language programming skills.

Certification Levels: CompletionLevel 1

This course provides a solid introduction to anyone who wants to develop an understanding of programming in Wolfram Language from the ground up. It features concise lecture sections, lesson notebooks with self-check exercises for further study and tips for writing Wolfram Language code. This is the first course in the Wolfram Language Programming Proficiency three-part course sequence.

Wolfram Notebooks: Building and Sharing Technical Workflows

Instructor Led | SEE COURSE SCHEDULE

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

Certification Levels: Completion

In this course you will learn how to create Wolfram Notebooks, interactive and powerful computational documents. This course shows how you can combine Wolfram Language with the notebook interface to express your ideas and develop technical workflows for data science, modeling, research, education and more. Discover how to build rich computational essays and presentations and publish to the cloud. No experience with Mathematica or Wolfram Language is required.

Can I Spot a Cheat?

Interactive Course | FREE

Requirements: This course requires basic working knowledge of the Wolfram Language, common data visualisations (histograms) and empirical and probability distributions.

Certification Levels: CompletionLevel 1

Being able to measure variations in data and identify abnormal variation is an important skill in many fields. In the financial sector, for example, fraudulent behaviour can cost huge sums of money. In this Computational Thinking module, you will learn how to recognise patterns in data that differ “significantly” from the norm and learn how to provide evidence that the source of one dataset is different to another. You will learn how to use significance levels to quantify how unexpected the patterns or differences were, ultimately writing and interpreting your own hypothesis test.

Cause or Correlation?

Interactive Course | FREE

Requirements: This course requires basic working knowledge of the Wolfram Language, common data visualisations (histograms) and statistics (mean, median).

Certification Levels: CompletionLevel 1

Knowing how one variable affects another is important in many instances in real life, from medical diagnoses to environmental impacts or financial trends. In this Computational Thinking module, you will learn about dependent connections between variables, the possible cause(s) for such dependencies and how these are often misused in the media to make claims that are incorrect—particularly about how adopting one behaviour can cause something positive or negative to happen.

Does Gender Help with Your Maths Score?

Interactive Course | FREE

Requirements: This course requires knowledge of common data visualisations (pie charts, bar charts, histograms) and statistics (min-max, mean, median, range).

Certification Levels: CompletionLevel 1

The ability to decide whether group A is different, either better or worse, than group B is an important technique within computational thinking and data science. It is useful in many areas, from medical experiments to sales figures to environmental changes. This Computational Thinking module introduces you to how problems like this can be tackled, first on small datasets, then on a national scale, comparing results to published reports.

Fast Introduction for Programmers

Video Course | FREE

Certification Levels: Level 1

Learn to program in Wolfram Language—fast. These videos offer a quick introduction to Wolfram Language. As a programmer, you will get up to speed with the higher-level constructs of this fully symbolic programming language. You will be introduced to a selection of its nearly 6,000 carefully integrated, built-in functions. You can also try rapid prototyping of your ideas with quick cloud deployment options, as well as access and work with an amazing collection of curated computable data built into the language itself, from within the all-in-one notebook environment. After you are done, you will be able to read and understand almost any Wolfram Language code and start programming in Wolfram Language yourself.

How Happy Are People in My Country?

Interactive Course | FREE

Requirements: This course requires knowledge of common data visualisations (bar chart) and statistics (mean, median), as well as very basic spreadsheet skills.

Certification Levels: CompletionLevel 1

Happiness, like many other subjective measures, is difficult to define. But with careful assumptions, many governments and businesses can analyse subjective data and use it to improve future growth or the lives of their citizens. In this Computational Thinking module, you will learn how the assumptions are made and how data scientists analyse reliable sources of data, ultimately finding a measure of how happy people are in your country.

Introduction to Finite Mathematics

Interactive Course | FREE

Requirements: Prerequisites for finite mathematics include Algebra I (elementary algebra) and Algebra II (intermediate algebra).

Certification Levels: CompletionLevel 1

Finite mathematics has many real-world applications and is used in business, economics, social sciences and biology. The topics in this course are commonly found in college courses on finite mathematics.

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.

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.

Wolfram Summer School Lecture Series

Interactive Course | FREE

Certification Levels: Completion

Wolfram Summer School provides unique educational and career opportunities at the frontiers of science, technology and innovation. Get a glimpse of the breadth of topics covered in the program by accessing this interactive course and its collection of select Summer School lecture videos and notebooks from past years. These comprehensive and extensive lectures are from content experts and Wolfram developers. Topics range from the basics of the notebook interface and an introduction to Wolfram Language for both beginners and experienced programmers to advanced applications of machine learning, neural networks and data science and the use of Wolfram technology in education. You can earn a course completion certificate by watching all the videos in this interactive course, but you can only get the full benefits of Wolfram Summer School by attending.