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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Jul 14 | Online
Mastering Relational Databases with Wolfram Language and SQL
Learn how to run SQL code directly from Wolfram Language to perform basic create, read, update and delete operations, and also how to map your tables to Wolfram's Entity framework for more powerful symbolic queries and data-driven business insights.
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Jul 28 | Online
Combining Wolfram Language and R
This webinar will explore how we can use Wolfram Language and R together in an integrated workflow. The focus will be on RLink, a built-in Wolfram Mathematica functionality that allows for R code to be executed from the native Mathematica environment and for data to be passed seamlessly between the two languages.
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Aug 11 | Online
Function and Data Visualization: A Showcase of Plots, Charts and Graphics
Expand your skills for visualizing mathematical functions and improve your ability to represent different types of data with plots, charts and graphics of all kinds. You'll learn how functions and data can be plotted in one, two or three dimensions with Wolfram Language.
