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.
Oct 12 | Online
Data Visualization with Wolfram Language
This instructor-led session shows how to quickly visualize different data structures and how to make your graphics ready to publish and share.See Details and Register
Nov 1–3 | Online
Wolfram Virtual Technology Conference
See the newest releases, developments and features in Wolfram Language and the Wolfram technology stack. The virtual conference provides opportunities for in-depth discussions with the Wolfram R&D team, staff and developers; common-interest group meet-ups and pre-conference training workshops.