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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SEP 3–24 | Online
New in Wolfram Language 14.3 Webinar Series
Important new features along with improvements to core functionality in Version 14.3 of Wolfram Language and Mathematica make this a big release. In this version, new and improved functions contribute to the overall integration of many areas of the language.
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Sep 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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Oct 28 | Online
Data Visualization with Wolfram Language
This course shows how to quickly visualize different data structures and how to make your graphics ready to publish and share. Domain-specific functions as well as general techniques are shared for getting the most out of your graphics.
