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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Mar 28 | Online
Data Science Is More than Just Statistics
This talk explores how automation can be used to apply sophisticated computation to data in order to achieve deeper insights and derive more value from it.
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Mar 31 | Online
Data Science Case Study: Food Safety
This webinar shows a typical data exploration process, from understanding the data format and importing into a computable form to asking questions of the data and generating useful visualizations.
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Apr 3–Apr 14 | Online
Daily Study Group: Introduction to Statistics
Follows lessons from the upcoming Wolfram U comprehensive statistics course. Topics are those typically found in introductory statistics courses and serve as great preparation for further study as well as the AP Statistics Exam.
