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Wolfram U offers free open interactive courses, learning events and other educational resources for professional and technical development.
Explore advanced geo visualization tools in Wolfram Language, combining functions and data types to create custom maps and geographical representations.
Explore financial data, create visualizations, and build machine learning models for business analytics using Wolfram Language's built-in functions and natural language programming.
Learn to process financial time series data using Wolfram Language. Import, analyze, and visualize stock data, compute returns, and create trading charts with built-in functions and financial indicators.
Learn to optimize investment portfolios using Wolfram Language functions. Analyze performance metrics, maximize returns, minimize risks, and simulate portfolio values with various optimization methods and constraints.
Explore time value mathematics and Wolfram Language functions for financial calculations, including compound interest, annuities, and cash flow analysis.
Explore how generative AI enhances learning, aids teachers, and fosters critical thinking. Discover practical applications using Wolfram tools to integrate AI in education and coding.
Access zoology data, build ML models, and explore species interactions using Wolfram Language. Learn image recognition, comparative studies, and biotic interaction analysis for computational zoology.
Explore function creation in Wolfram Language, covering syntax, structure, arguments, patterns, options, recursion, memoization, and error handling. Enhance your programming skills with expert guidance.
Learn to spot fraudulent behavior by analyzing data variations, comparing datasets, and conducting hypothesis tests using computational thinking and statistical methods.
Explore cause vs correlation through interactive activities, learning to analyze dependencies, interpret data, and critically evaluate media claims about causal relationships.
Explore gender effects on math scores using data analysis and visualization techniques. Learn to interpret results and present evidence-based opinions.
Explore randomness through interactive activities, learning to recognize and generate random outcomes using code. Investigate random noises, images, and shapes while understanding the importance of sample size and pseudorandomness.
Learn wavelet analysis concepts and techniques using Wolfram Language, including continuous, discrete, and stationary transforms for signal processing, data compression, and feature detection.
Learn to create interactive Wolfram Demonstrations with pro tips on control specifications, tooltips, troubleshooting, and finalizing details for classroom use or project submission.
Learn to deploy, share, and collaborate on Mathematica projects using Wolfram Cloud. Create interactive content, instant APIs, and control access for seamless group work and public sharing via web browsers.
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