Data Science
Employ a multiparadigm approach for your data science projects. Develop modular, flexible and scalable workflows to import, process, analyze and visualize data. Learn about easy-to-use functions, repositories, frameworks and interfaces while applying algorithms and techniques from across multiple disciplines.
These courses showcase some of the computational processes driving data analysis and visualization, the application of automated machine learning tools and the use of natural language queries within a symbolic framework. Topics covered also include the use of interactive Wolfram Notebooks and the cloud for generating reports and deploying data products. Earn course completion certificates and work toward Level 1 and Level 2 data science certifications.
Upcoming Events
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NOV 10 | Online
AI and Data Analysis Meet Reliable Computation
Learn how to give LLMs like Claude, Codex and other AI tools direct access to reliable computation and real-world data with Wolfram MCP. Wolfram MCP lets your agents evaluate code that draws on verified computation and curated data for analysis and insights. Learn about the growing collection of agent skills that leverage Wolfram's computational power.
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Nov 11 | Online
Turning Webpages into Data with Wolfram Language
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.
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DEC 15 | Online
Function and Data Analysis: A Showcase of Plots, Charts and Graphics
Expand your skills for visualizing mathematical functions and improve your ability to represent different types of data with plots, charts and graphics of all kinds. You'll learn how functions and data can be plotted in one, two or three dimensions with Wolfram Language.
