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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Dec 11 | Online
Data Science Is More than Just Statistics
In this talk, we'll explore how automation can be used to apply much more sophisticated computation to data in order to achieve deeper insights and derive more value from it.
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Jan 29 | Online
Big Problems with Big Data: Managing Risks in AI
This talk explores the issues you need to consider in making data-driven decisions. It discusses topics such as when machine learning is appropriate, sources of bias, validation and explainability of models and decision-making criteria.
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Feb 20 | 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.
