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 Structures, Graph Theory, Algorithms, Data Validation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Model Training, Feature Engineering, AI Personalization, Databricks, Large Language Modeling, Model Evaluation, Model Optimization, Vector Databases, Predictive Modeling, MLOps (Machine Learning Operations), Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Embeddings, LLM Application, Cloud-Native Computing, Program Evaluation, Artificial Neural Networks, Python Programming
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LLM Application, AI Workflows, Embeddings, AI Integrations, Large Language Modeling, Graph Theory, Query Languages, Graphing, Interactive Data Visualization, Data Processing, Development Environment
★ 4.9 (10) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging
★ 4.5 (40) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Databricks, Large Language Modeling, Vector Databases, AI Personalization, Embeddings, LLM Application, Cloud-Native Computing, Machine Learning Methods, Applied Machine Learning, Cloud Engineering, PyTorch (Machine Learning Library), Machine Learning, Model Training, Scalability, Statistical Methods, Data Pipelines, Data Science, Software Development, Computer Science
Advanced · Course · 3 - 6 Months

Skills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking, Programming Principles, Solution Design, Model Optimization, Computational Logic, Data Validation
Intermediate · Specialization · 3 - 6 Months

Vanderbilt University
Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, ChatGPT, Prompt Patterns, Excel Macros, Storytelling, Excel Formulas, Data Synthesis, LLM Application, Consolidation, AI literacy, Microsoft Excel, Data Visualization, AI Enablement, Plot (Graphics), Spreadsheet Software, Data Analysis, AI powered creativity, Generative AI
★ 4.8 (8.3K) · Beginner · Specialization · 1 - 3 Months

Princeton University
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computer Programming, Java Programming, Java
★ 4.9 (2.1K) · Intermediate · Course · 3 - 6 Months

Princeton University
Skills you'll gain: Data Structures, Algorithms, Graph Theory, Java, Performance Testing, Java Programming, Computational Thinking, Memory Management, Spatial Data Analysis
★ 4.9 (12K) · Intermediate · Course · 3 - 6 Months

Skills you'll gain: NoSQL, MongoDB, Database Development, Database Systems, Databases, Database Management Systems, Database Management, Database Software, Database Administration, Information Management, Apache Cassandra, Data Store, Operational Databases, Database Theory, Database Architecture and Administration, Distributed Computing, Query Languages, Data Modeling, IBM Cloud, Cloud Applications
★ 4.6 (382) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Graph Theory, Network Analysis, Network Model, Social Network Analysis, Graphing, NoSQL, Data Science, Query Languages, Visualization (Computer Graphics), Applied Machine Learning, Data Transformation, Big Data, Machine Learning Methods, Python Programming, Spatial Data Analysis, Deep Learning, Machine Learning, Machine Learning Algorithms
Intermediate · Course · 3 - 6 Months
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
★ 4.1 (325) · Mixed · Course · 1 - 4 Weeks