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

  • Mar 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.

  • 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.

  • 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.