Graph courses can help you learn about graph theory, data visualization, network analysis, and algorithm design. You can build skills in identifying relationships within data, optimizing paths, and analyzing connectivity. Many courses introduce tools like Gephi, NetworkX, and Tableau, that support visualizing complex data structures and performing in-depth analysis. By working with these tools, you'll gain practical experience in transforming raw data into meaningful insights, enhancing your ability to communicate findings effectively.

Skills you'll gain: Computational Logic, Theoretical Computer Science, Model Evaluation, Systems Analysis, Graph Theory, Verification And Validation, Algorithms, Data Structures
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Robotics, Graph Theory, Artificial Intelligence, Control Systems, Algorithms, Data Structures, Computer Vision, Computer Science, Python Programming
Build toward a degree
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Social Network Analysis, Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Visualization Software, Data Storytelling, Data Analysis, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytical Skills, Sociology, Natural Language Processing, Data Manipulation, Text Mining, Analytics, Social Impact, Statistical Modeling
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics
Intermediate · Specialization · 3 - 6 Months

Universidade de São Paulo
Skills you'll gain: Network Analysis, Social Network Analysis, Data Visualization, Graph Theory, Exploratory Data Analysis, Environmental Science, Data Analysis, R Programming, Data Science, Probability Distribution
Beginner · Course · 1 - 4 Weeks

Clemson University
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Applied Mathematics, Programming Principles, Combinatorics, Pseudocode, Performance Testing, Computer Science, Design Strategies, Probability
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Robotics, Data Mapping, Automation, Control Systems, Artificial Intelligence, Graph Theory, Planning, Simulation and Simulation Software, Engineering, Computer Science, Image Analysis, Digital Signal Processing, Algorithms, Simulations, Computer Programming, Virtual Environment, Torque (Physics), Data Structures, Linear Algebra, Design
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Development Environment, Multimodal Prompts, Embeddings, Vector Databases, User Interface (UI), Generative AI, AI Personalization, Prompt Engineering, Agentic systems, Data Visualization, AI Enablement, Image Analysis, Application Development, Augmented Reality, Text Mining, Graph Theory, Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Structures, Graph Theory, Python Programming, Data Manipulation, Algorithms, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)
Intermediate · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Theoretical Computer Science, Computational Logic, Mathematical Theory & Analysis, Algorithms, Computational Thinking, Programming Principles, Computer Science, Graph Theory, Natural Language Processing, Logical Reasoning, Formal Learning
Intermediate · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Model Deployment, Keras (Neural Network Library), Applied Machine Learning, Generative Adversarial Networks (GANs), Machine Learning Methods, Tensorflow, Transfer Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Technical Writing, Recurrent Neural Networks (RNNs), Statistical Reporting, Health Informatics, Medical Science and Research, Graph Theory, Unsupervised Learning, Network Analysis, Python Programming
Advanced · Course · 1 - 4 Weeks