All Classes and Courses

Zero to AI in 60 Minutes

Video Course | FREE

Follow this video series to get started with machine learning in Wolfram Language. Examples demonstrate machine learning concepts and the automated machine learning capabilities in Wolfram Language.

Automated Data Science

Video Course | FREE

Learn about machine learning functions that have been tuned to automate the data science process. This video course shows examples of using computation with data that go beyond traditional statistical methods and highlight the role of automated modeling in the modern data science process. Automated classification and regression functionalities are demonstrated using the built-in Wolfram Language symbols Classify and Predict.

Becoming a Data Curator

Video Course | FREE

Join a Wolfram|Alpha data scientist for this recorded, three-part livecoding series as they guide you in taking data from the web, importing and cleaning it, preparing it for computation in the Wolfram Language and uploading it to the Wolfram Data Repository.

Biodiversity Explorations with Machine Learning
(Study Group Sessions)

Archived Event | FREE

Learn to apply machine learning techniques and Wolfram Language functions to biodiversity data. These Study Group sessions begin by introducing you to biodiversity data access functions available with the entity framework built into the Wolfram Language and in the Wolfram Function Repository. Later sessions cover examples of classification, social media text analysis, audio processing of bird sounds and deploying a trained neural network image classifier to your mobile phone. Each session includes lessons, polls to review key concepts and practice problems.

Breaking the Boundaries of Data Science

Video Lesson | FREE

What do we mean by multiparadigm data science? Presenter Jon McLoone answers this question by showing examples of using computation with data that go beyond traditional statistical methods. Using the Wolfram Language to perform computations in sentiment analysis, signal processing and graph theory, Jon illustrates that various domains of computation can be combined to yield new insights into the data. The role of automation in making deep data exploration more accessible is introduced. Machine learning examples are shown. The class ends with a demonstration of a web-based application and API deployment for making results, reports and presentations interactive and collaborative.

Building and Applying Epidemiological Models

Video Course | FREE

Follow this video course to learn about the basics of epidemiology modeling. The first few lessons will review basic dynamic transmission models, and each lesson will build on previous lessons to create progressively more complicated models that can be used to simulate real-world scenarios. The course uses data from past and present epidemics to explore how the models work and what can happen when model parameters are changed. The models are constructed and simulated using Wolfram Language and built-in data from the Wolfram Knowledgebase.

Business Analytics and Research with the Wolfram Language

Video Lesson | FREE

The Wolfram Language has built-in, ready-to-use financial and socioeconomic data, including current and historical stock prices and currency exchange rates. This video shows you how to use natural language as well as built-in Wolfram Language functions to query this data and compute with it. It also demonstrates the use of automated machine learning models and customized visualization for the development and enhancement of a business intelligence workflow. Several real-world examples are used to explain how the Wolfram Language can be used for business analytics and research.

Computation for Social Sciences

Video Lesson | FREE

Would you find it useful to have a complete, integrated and fully automated platform for doing social science computations? Learn how to use built-in and external data to explore or model concepts and ideas using Wolfram Language. Examples include analyzing texts written by different authors, mapping boundaries of historical empires, social network analysis and determining political sentiment from tweets.

Computational Zoology

Video Lesson | FREE

How would you make use of a complete, integrated and fully automated platform for zoology computations? Learn how to use Wolfram Language to access built-in and external data about different animal species and also build simple machine learning models to process zoology data. Examples include a comparative study of the fastest mammals, image recognition to identify animals and exploring biotic interactions.

COVID-19 Data Analysis and Visualization

Video Course | FREE

This course introduces a computational approach to the data analysis, visualization and modeling of the COVID-19 pandemic. You will learn how to access a collection of curated COVID-19 data from the Wolfram Data Repository and explore resources such as livestreams and computational essays. See how analysis and visualization combined with built-in socioeconomic data in the Wolfram Language make in-depth explorations possible. Additionally, this course covers several compartmental epidemiological models and applies them to real-life pandemic data to analyze the spread of this contagious disease.

Creating a Data Resource

Video Lesson | FREE

Start with scraped data from a webpage and finish with a published entry in the Wolfram Data Repository. Follow this step-by-step tutorial to prepare raw data for publishing, sharing and further computation in the Wolfram Cloud.

Creating Compelling Reports

Video Lesson | FREE

Data analysis is an increasingly vital professional skill, but the results of the analysis must be presented in a compelling and effective way for the audience to find meaning in the analysis. This video class shows how to create reports with cohesive, organized visualizations and share them in several different formats. Examples demonstrate setting up a scheduled workflow for repeatedly importing and analyzing data, creating visualizations and automatically generating reports at periodic intervals. The video lists multiple options for distributing and delivering reports to target audiences.

Curating Data and Integrating the Wolfram Data Framework

Video Course | FREE

Learn how the Wolfram Language and the Wolfram Knowledgebase, along with the Wolfram Data Framework, can be used to improve and extend your external data sources. This two-part video course provides examples of importing, cleaning, structuring and visualizing data and then publishing it to the world.

Data Importing and Exporting Quick Start

Video Lesson | FREE

The Wolfram Language makes it easy to work with your data and files. This class uses application-driven examples from a variety of areas, such as computational biology, chemistry, geospatial information systems and more, to show how straightforward it is to get data into and out of the Wolfram Language. This beginner-level class is appropriate for those who have little or no experience with the system.

Data Science Friday Webinars: Insights from Images

Archived Event | FREE

Learn about Wolfram's multiparadigm approach to doing data science. This series focuses mainly on image analysis—starting in outer space to study images captured by the James Webb Space Telescope and ending on London streets to analyze traffic images captured by "JamCams." Along the way, we stop by Mars to look at videos assembled from images taken by NASA rovers and dig into the geologic layers of South Asia as recorded by the US Geological Survey. Each webinar demonstrates the data science workflow and how to build a project pipeline through different stages, beginning with formulating questions, then wrangling and cleaning the data, performing exploratory data analysis and applying multiparadigm techniques to analyze the data, and finally, sharing the results.

Data Science Webinar Series

Archived Event | FREE

Learn how you can build your data science workflow around insightful questions rather than limited traditional methods. This three-part webinar series introduces Wolfram's multiparadigm approach and demonstrates how to set up a real-world data science pipeline, implement machine learning models and curate computable data.

Data Visualization Quick Start

Video Lesson | FREE

Harness the power of the Wolfram Language to interactively visualize your data. Start with simple charts, add labels and legends and then customize the appearance. In a series of examples, you'll learn to process and incorporate additional data and create specialized visual elements, resulting in a rich interface that allows you to interactively explore your data in depth. Topics include general options for adding styles and labels to your charts, enhancing your data with wrappers and metadata and writing custom rendering functions that make use of the metadata to show additional levels of information. The class is suitable for those who have an interest in creating charts using the Wolfram Language but who have little experience with the system.

Data Visualization with Wolfram Language

Instructor Led | SEE COURSE SCHEDULE

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

Certification Levels: Completion

With the use of a curated dataset from the Wolfram Data Repository, this course shows how to quickly visualize different data structures and how to make your graphics ready to publish and share. Domain-specific functions as well as general techniques are shared for getting the most out of your graphics. The course is intended for anyone who wants to learn more about data visualization using Wolfram Language.

Descriptive and Exploratory Statistics

Video Lesson | FREE

The Wolfram Language provides numerous functions for describing and visualizing properties of data. This class shows how charts, plots and a variety of graphics can be used for understanding the nature of a dataset, the population from which it was sampled and the relationship between variables in the data or underlying population.

Exploring Creative Data Analytics

Interactive Course | FREE

This course provides a beginner's introduction to applying modern computation to business analytics and working with text, image, video and web data in Wolfram Language. Course lessons explore case studies using real-world data.

Exploring Web Data with Wolfram Language

Archived Event | FREE

In this recorded, two-part livecoding series, Arnoud Buzing demonstrates using the Reddit API to import data from a webpage in the JSON format and analyzing it with Wolfram Language. Dataset operations are used for deciphering the structure of the imported data. Image processing and textual analysis capabilities of the language are demonstrated, and the built-in ImageIdentify function is used to recognize imported images.

Geo Computation

Video Lesson | FREE

There are several features and functions in Wolfram Language that allow you to perform computations on maps and geographic objects. This video lesson will explore some of the functions used in geo computation. You will learn about using vector maps with coordinate points, tiles, projections and different types of boundaries and labels as well as other components of map objects. Examples will also demonstrate the geometry behind vector maps and geo primitives.

Geography in Wolfram Language

Video Course | FREE

These videos offer an introduction to built-in geography functionality in Wolfram Language. Learn about making and styling maps, creating high-resolution maps of any region of the world and using multiple styles for vector renderings. The included examples showcase how to access built-in, curated geophysical and socioeconomic data, and they also demonstrate how to visualize the data in different ways using maps.

Getting Started with AI: A Beginner's Guide to Automated Classification, Predictions and Computer Vision

Webinar | FREE

Certification Levels: Attendance

This webinar explains the basics of supervised and unsupervised machine learning in Wolfram Language using illustrative examples in a range of subjects. Specific machine learning topics include classification, prediction, feature extraction and neural networks, as well as pitfalls and pro tips in processing data.