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 10 | Online
Building a Data Science Pipeline
Learn the steps needed to complete a data science project from start to finish. Using a food dataset as a starting point, you'll see how to import, clean and restructure categorical data. You will also learn how to replace anomalous values, canonicalize data, handle missing values and use machine learning to extract features from data.
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FEB 17 | Online
Introduction to GeoGraphics in Wolfram Language
Geo data brings particular challenges when creating impactful and clear visualizations. This training will introduce Wolfram Language's geo visualization libraries and show how to handle the key issues of projections and context to produce a range of compelling images.
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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.
