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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Apr 7 | Online
Computational Economics with Wolfram Language
This presentation showcases the ways that Wolfram Language integrates ready-to-use financial and socioeconomic data, automated modeling functionalities and powerful data visualization tools to advance economics and business intelligence workflows.
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Apr 15 | Online
Working with Unstructured Data
This interactive demonstration will cover how you can use automation to effortlessly infer structure and remove noise from unstructured sources as well as use innovative computational methods and semantic analysis to derive insight from otherwise suboptimal sources.
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Apr 16 | 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. This course shows how to customize visualizations and plots with options, add labels and legends and even make them dynamic and interactive.
