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.

University of California San Diego
Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Biotechnology, Precision Medicine, Biochemistry, Brute-force attacks, Computational Thinking, Algorithms, Python Programming
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

University of Colorado System
Skills you'll gain: Object Oriented Design, Object Oriented Programming (OOP), Unity Engine, Software Design Patterns, Data Structures, C# (Programming Language), Video Game Development, Software Design, Programming Principles, Graph Theory, Software Architecture, Algorithms
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Data Store, Data Storage, Data Storage Technologies, Query Languages, Vector Databases, Data Lakes, File Systems, Database Systems, SQL, Databases, Data Architecture, Cloud Storage, Data Warehousing, Amazon Web Services, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

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, Redis
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

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

Skills you'll gain: Performance Testing, Performance Stress Testing, Test Tools, Software Testing, API Testing, Application Performance Management, Test Planning, Test Script Development, Test Data, Configuration Management
Beginner · Guided Project · Less Than 2 Hours

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

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

DeepLearning.AI
Skills you'll gain: Model Deployment, Cloud Deployment, Performance Testing, Android Development, Model Optimization, Model Evaluation, Image Analysis, PyTorch (Machine Learning Library), AI Integrations, Tensorflow, Hardware Architecture, Artificial Neural Networks, Artificial Intelligence
Beginner · Project · Less Than 2 Hours

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