Graph analytics courses can help you learn about network structures, centrality measures, community detection, and graph visualization techniques. You can build skills in analyzing relationships between data points, optimizing algorithms for large datasets, and interpreting complex data patterns. Many courses introduce tools like Neo4j for graph databases, Gephi for visualization, and Python libraries such as NetworkX, which enhance your ability to manipulate and analyze graph data effectively.

University of Maryland, College Park
Skills you'll gain: Data Storytelling, Digital Transformation, Data Presentation, Data Visualization, Data-Driven Decision-Making, Business Transformation, Persuasive Communication, Employee Engagement, Data Strategy, Customer experience strategy (CX), Data Science, Storytelling, Applied Machine Learning, Influencing, Agile Methodology, Analytics, Business Analytics, Business Modeling, Data Quality, Stakeholder Communications
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Data Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Statistical Inference, Sampling (Statistics), Large Language Modeling, LLM Application
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: SQL, PostgreSQL, Query Languages, Database Management, Database Systems, Data Manipulation
Advanced · Guided Project · Less Than 2 Hours

Skills you'll gain: System Monitoring, Microsoft Azure, Event Monitoring, Query Languages, Application Performance Management, Cloud Management, Continuous Monitoring, Real Time Data, Interactive Data Visualization, Virtual Machines, Resource Management
Beginner · Course · 1 - 4 Weeks
Emory University
Skills you'll gain: Probability Distribution, Marketing Analytics, Probability, Microsoft Excel, Statistics, Statistical Modeling, Forecasting, Decision Making, Simulation and Simulation Software, Insurance and Warranty Claims Processing, Risk Analysis
Intermediate · Course · 1 - 4 Weeks

The State University of New York
Skills you'll gain: Law, Regulation, and Compliance, Data-Driven Decision-Making, Data Analysis, Regulation and Legal Compliance, Analytics, Trend Analysis, Data Management, Contract Management, Contract Negotiation, Negotiation, Relationship Building, Ethical Standards And Conduct, Operations Management
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Network Troubleshooting, Kubernetes, Google Cloud Platform, Application Performance Management, Event Monitoring, Query Languages, Analytics, Performance Tuning
Beginner · Project · Less Than 2 Hours

Starweaver
Skills you'll gain: Prompt Engineering, Generative AI Agents, Prompt Patterns, Generative AI, Agentic systems, AI Personalization, Kubernetes, Enterprise Application Management, ChatGPT, Containerization, OpenAI, LangChain, Cloud Infrastructure, Scalability, System Monitoring, Artificial Intelligence and Machine Learning (AI/ML), Tool Calling, MLOps (Machine Learning Operations), Python Programming, Engineering
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: SPSS, Correlation Analysis, SPSS (Software), Regression Analysis, Predictive Modeling, Predictive Analytics, Statistics, Descriptive Statistics, Statistical Methods, Statistical Modeling, Case Studies, Statistical Analysis, Data Import/Export, Data Manipulation, Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: AWS Kinesis, Amazon Web Services, Real Time Data, Apache Spark, Extract, Transform, Load, Data Processing, Dashboard, Full-Stack Web Development, Mobile Development Tools, Event-Driven Programming, Business Intelligence, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Analytics, Return On Investment, Google Ads, Marketing Strategies, MarTech, Content Management Systems, WordPress, Facebook, Software Installation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms
Mixed · Course · 1 - 4 Weeks