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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FEB 23–27 | Online
Daily Study Group: Computational Food and Nutrition
Access new possibilities for food science research, recipe management, content development and nutrition education with easy-to-use computational tools and functions in Wolfram Language. This Daily Study Group will cover how to compute, analyze and visualize data from Wolfram Language's built-in knowledgebase of foods.
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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 16 | Online
Function and Data Visualization: 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. This course shows how to customize visualizations and plots with options, add labels and legends and even make them dynamic and interactive.
