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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Mar 25 | Online
Getting Started with Interactive Reporting
Learn how to get better insights from your data. This webinar shows how to create dynamic dashboards, visualizations, self-service apps and other interactive reports that give you a real-time view of how your business is performing.
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Mar 26 | Online
Computational Social Science with Wolfram Language
This webinar showcases Wolfram Language as a unified solution for social science research and teaching. Learn to elevate your workflows with powerful text analysis tools, social network computation and ready-to-use computable datasets covering finance and socioeconomics, media and culture, history and geography and much more.
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Apr 14 | Online
Working with Unstructured Data
This interactive demonstration will cover how you can use automation to effortlessly infer structure and remove noise from unstructured sources as well as use innovative computational methods and semantic analysis to derive insight from otherwise suboptimal sources.
