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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AUG 12 | Online
Data Visualization with Wolfram Language
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 and general techniques are shared for getting the most out of your graphics.
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AUG 19– SEP 2 | Online
Wolfram Language Crash Course
This three-part course sequence will help you get up to speed on all things Wolfram Language in two short weeks. Learn the basics of Wolfram Language syntax and the notebook interface, get familiar with Wolfram Notebook Assistant, learn how to visualize data and mathematical functions and explore computational topics and curated real-world knowledge.
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SEP 3–24 | Online
New in Wolfram Language 14.3 Webinar Series
Important new features along with improvements to core functionality in Version 14.3 of Wolfram Language and Mathematica make this a big release. In this version, new and improved functions contribute to the overall integration of many areas of the language.
