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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Oct 28 | Online
Equity Trading Signal, US Banking Sector: An Event-Driven Strategy
This talk explores how to link to the publicly available Federal Reserve API to obtain economic data such as bank interest rates, unemployment rates and inflation rates, and then use Wolfram's FinancialData and API integration to automate a workflow and facilitate signal generation.
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Oct 28 | Online
Data Visualization with Wolfram Language
This course shows how to quickly visualize different data structures and how to make your graphics ready to publish and share. Domain-specific functions as well as general techniques are shared for getting the most out of your graphics.
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Nov 18 | 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.
