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.

Rice University
Skills you'll gain: Business Economics, Game Theory, Market Dynamics, Economics, Market Analysis, Supply And Demand, Operating Cost, Economics, Policy, and Social Studies, Cost Benefit Analysis, Public Policies, Cost Accounting, Consumer Behaviour, Policy Analysis, Research, and Development, Competitive Analysis, Environmental Issue, Production Process, Resource Allocation, Budgeting, Decision Making
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Applied Mathematics, Model Optimization, Estimation, Calculus, Cost Estimation, Mathematical Modeling, Derivatives, Analysis
Intermediate · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Graph Theory, Data Structures, Unstructured Data, Algorithms
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, R (Software), Social Sciences, Statistical Analysis, R Programming, Statistical Software, Sociology, Network Model, Statistical Modeling, Statistical Hypothesis Testing, Statistical Methods, Dependency Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Graph Theory, Javascript, Theoretical Computer Science, Programming Principles, Computational Thinking, Computer Science
Intermediate · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: NoSQL, Database Systems, MongoDB, Database Software, Database Management Systems, Databases, Database Design, Relational Databases, Database Application, Query Languages, Apache Cassandra, Data Storage Technologies, Scalability, Graph Theory, Unstructured Data, Maintainability
Intermediate · Course · 1 - 3 Months

Whizlabs
Skills you'll gain: Amazon DynamoDB, Amazon Web Services, Amazon Redshift, Databases, Database Architecture and Administration, Database Design, Relational Databases, Apache Cassandra, NoSQL, Data Warehousing, SQL, Redis
Intermediate · Course · 1 - 4 Weeks

Khalifa University
Skills you'll gain: AI Personalization, Sales Enablement, Customer Analysis, Customer Data Management, Personalized Service, Personalized Campaigns, LLM Application, AI Enablement, Customer experience improvement, AI Product Strategy, Customer experience strategy (CX), Customer Insights, Customer Engagement, Large Language Modeling, Predictive Modeling, Fraud detection, Self Service Technologies, Data Integration, Revenue Management, Network Analysis
Beginner · Course · 1 - 3 Months

Shanghai Jiao Tong University
Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Network Model, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Mathematics and Mathematical Modeling, Logical Reasoning, General Mathematics, Algorithms, Probability, Computer Science
Intermediate · Course · 1 - 3 Months

Rice University
Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Program Development
Intermediate · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Scientific Visualization, Data Ethics, Data Presentation, Statistical Visualization, Data Storytelling, Data Visualization Software, Data Sharing, Data Governance, Big Data, Technical Communication, Graphic and Visual Design, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct
Mixed · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data
Mixed · Course · 1 - 4 Weeks