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: Data Presentation, Scientific Visualization, Data Visualization Software, Statistical Visualization, Plot (Graphics), Visualization (Computer Graphics), C++ (Programming Language), Application Development, Graphing, Computer Graphics, C and C++, Data Mapping, Application Frameworks, Verification And Validation, Graphical Tools, Data Processing, Computer Graphic Techniques, Software Testing
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Dependency Analysis
Advanced · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
Advanced · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Theoretical Computer Science, Analysis, Python Programming
Build toward a degree
Advanced · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, Applied Machine Learning, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Decision Intelligence, Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Sampling (Statistics), Algorithms
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
Advanced · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Database Management Systems, Memory Management, Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Statistical Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures
Beginner · Guided Project · Less Than 2 Hours
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Bayesian Statistics, Machine Learning Methods, Markov Model, Statistical Machine Learning, Machine Learning, Network Model, Unsupervised Learning, Model Training, Probability Distribution, Model Optimization, Statistical Methods, Probability & Statistics, Algorithms
Advanced · Course · 1 - 3 Months

Coursera
Skills you'll gain: LangGraph, AI Orchestration, LangChain, AI Workflows, LLM Application, Agentic Workflows, Agentic systems, Tool Calling, Generative AI Agents, Model Deployment, Large Language Modeling, Artificial Intelligence, Context Management, Data Persistence, Business Logic, Enterprise Architecture, Debugging
Intermediate · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Network Analysis, Tableau Software, Network Model, Dashboard Creation, Dashboard, Time Series Analysis and Forecasting, Matplotlib, Data Analysis, Seaborn, Graph Theory, Python Programming
Build toward a degree
Intermediate · Course · 1 - 4 Weeks