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Cursos en línea gratuitos de The Georgia Institute of Technology

The Georgia Institute of Technology MOOCs

Explore cursos en línea gratuitos en una variedad de materias. Los cursos de The Georgia Institute of Technology que se encuentran a continuación se pueden auditar de forma gratuita, o los estudiantes pueden optar por recibir un certificado verificado por una pequeña tarifa. Seleccione un curso para obtener más información.

Cursos

Computing in Python I: Fundamentals and Procedural Programming
The Georgia Institute of Technology
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Data Analytics for Business
The Georgia Institute of Technology
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Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues
The Georgia Institute of Technology
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Foundations of Generative AI
The Georgia Institute of Technology
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Data Structures & Algorithms IV: Pattern Matching, Dijkstra’s, MST, and Dynamic Programming Algorithms
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Linear Algebra I: Linear Equations
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Computing for Data Analysis
The Georgia Institute of Technology
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Computing in Python III: Data Structures
The Georgia Institute of Technology
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Probability and Statistics I: A Gentle Introduction to Probability
The Georgia Institute of Technology
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Computing in Python II: Control Structures
The Georgia Institute of Technology
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Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics
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Introduction to Analytics Modeling
The Georgia Institute of Technology
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Human-Computer Interaction I: Fundamentals & Design Principles
The Georgia Institute of Technology
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Computing in Python IV: Objects & Algorithms
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Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps
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Linear Algebra II: Matrix Algebra
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Human-Computer Interaction II: Cognition, Context & Culture
The Georgia Institute of Technology
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Introduction to Object-Oriented Programming with Java II: Object-Oriented Programming and Algorithms
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Data Structures & Algorithms III: AVL and 2-4 Trees, Divide and Conquer Algorithms
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Introduction to Object-Oriented Programming with Java III: Exceptions, Data Structures, Recursion, and GUIs
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Probability and Statistics II: Random Variables – Great Expectations to Bell Curves
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Linear Algebra III: Determinants and Eigenvalues
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AI for Teacher Assistance
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Project Management Fundamentals: Triple Constraints (Scope, Schedule, and Cost)
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Probability and Statistics III: A Gentle Introduction to Statistics
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Project Management Fundamentals: Risk Management
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Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD
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Assessment Design with AI
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Probability and Statistics IV: Confidence Intervals and Hypothesis Tests
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Project Management Fundamentals: Project Charter- Business Case
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Human-Computer Interaction III: Ethics, Needfinding & Prototyping
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Project Management Fundamentals: Conflict Management
The Georgia Institute of Technology
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