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.

Birla Institute of Technology & Science, Pilani
Skills you'll gain: MongoDB, Redis, NoSQL, Database Management Systems, Database Systems, Databases, Data Store, Database Theory, Amazon DynamoDB, Relational Databases, Database Design, Apache Kafka, Database Management, SQL, Distributed Computing, Databricks, Big Data, Data Architecture, Data Modeling, Cloud Computing
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computer Programming, Computational Thinking, Theoretical Computer Science, Python Programming, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Memory Management, Performance Tuning
Intermediate · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Azure Active Directory, Microsoft Azure, Web Applications, Cloud Applications, Application Security, Cloud Security, Identity and Access Management, Authorization (Computing), Key Management, Application Development, Security Strategy, Application Programming Interface (API), Authentications, Encryption
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Governance, Database Management, NoSQL, Data Management, SQL, Query Languages, Database Theory, MongoDB, Relational Databases, Big Data, Graph Theory, Data Storage, Social Network Analysis, Network Analysis, Data Integrity, Apache Hadoop, Data Manipulation
Build toward a degree
Mixed · 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

Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Apache Airflow, Vector Databases, Performance Tuning, Scalability, Database Management Systems, Database Management, Data Pipelines, MySQL, Data Import/Export
Intermediate · 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: Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Prompt Patterns, Tool Calling, Generative AI Agents, Prompt Engineering Tools, Embeddings, Agentic systems, Application Development, Query Languages, Data Pipelines, Data Persistence
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
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