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.

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Radiology, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics
Intermediate · Specialization · 3 - 6 Months

University of California San Diego
Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Email Marketing, Customer Relationship Management (CRM) Software, Customer Engagement, Customer Data Management, Marketing Automation, Customer Analysis, Marketing Strategies, Campaign Management, Marketing Analytics, Data Integration, Workflow Management, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Interactive Brokers
Skills you'll gain: Derivatives, Equities, Risk Analysis, Financial Trading, International Finance, Investments, Securities Trading, Financial Market, Risk Management, Financial Analysis, Financial Statement Analysis, Market Analysis, Analysis, Capital Markets, Portfolio Risk, Tax, Balance Sheet, Financial Regulations, Business Metrics, Market Data
Beginner · Specialization · 3 - 6 Months

AI CERTs
Skills you'll gain: Responsible AI, Sales Strategy, Sales Management, Sales Development, Sales, Sales Process, Sales Pipelines, Customer Relationship Management, AI Enablement, B2B Sales, AI Personalization, Sales Presentation, Lead Generation, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Data-Driven Decision-Making, Generative AI Agents, Forecasting
Intermediate · Course · 1 - 3 Months

SkillsBooster Academy
Skills you'll gain: Prompt Engineering, Data Ethics, Responsible AI, Project Management, AI Enablement, AI Security, Artificial Intelligence, Google Gemini, Microsoft Copilot, ChatGPT, Project Planning, Generative AI, Governance, Stakeholder Management, Leadership, Team Management, Risk Management, Data Analysis, Decision Making, Communication
Beginner · Course · 1 - 3 Months

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

Coursera
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
Intermediate · Specialization · 3 - 6 Months

University of California, Santa Barbara
Skills you'll gain: Generally Accepted Auditing Standards, Financial Auditing, Auditing, Ethical Standards And Conduct, Governmental Accounting, Internal Auditing, External Auditing, Economics, Business Economics, Non-Profit Accounting, Sarbanes Oxley Act (SOX) Compliance, Supply And Demand, Market Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Apache Spark, Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Big Data, Feature Engineering, Distributed Computing, Forecasting, Anomaly Detection, Generative AI, Real Time Data, Predictive Modeling, Exploratory Data Analysis, Data Pipelines, Model Evaluation, Data Cleansing, Data Transformation, Statistical Modeling
Intermediate · Course · 1 - 3 Months

Beginner · Course · 1 - 3 Months