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 28 | Online
High-Impact Data Visualization
With the use of a curated dataset from the Wolfram Data Repository, this course shows you how to quickly visualize different data structures and make your graphics ready to publish and share. The course is intended for anyone who wants to learn more about data visualization using Wolfram Language.
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Mar 12 | Online
Unstructured Data in Wolfram Language
Learn how to use automation to infer structure, remove noise and drive insight from unstructured sources using a variety of data types, including image, audio and video.
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Apr 17 | 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.
