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.

Skills you'll gain: Threat Management, Microsoft Azure, Cloud Security, Threat Detection, Key Management, Security Controls, Data Security, Data Structures, Role-Based Access Control (RBAC), Continuous Monitoring, Event Monitoring, Query Languages
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Algorithms, Graph Theory, Computer Programming, Performance Tuning
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Cloud-Based Integration, Real Time Data, Data Pipelines, Apache Spark, Google Cloud Platform, Data Integration, Data Transformation, Data Wrangling, Data Analysis, Data Visualization, Data Management
Beginner · Project · Less Than 2 Hours

O.P. Jindal Global University
Skills you'll gain: Economics, Game Theory, Economics, Policy, and Social Studies, Market Dynamics, Socioeconomics, Business Economics, Social Sciences, Policy Analysis, Public Policies, Decision Making, Market Analysis, Consumer Behaviour, Supply And Demand, Cost Benefit Analysis, Strategic Decision-Making, Competitive Analysis, Production Process, Critical Thinking, Resource Allocation
Build toward a degree
Beginner · Course · 1 - 3 Months

IE Business School
Skills you'll gain: Product Lifecycle Management, Market Trend, Product Marketing, Product Strategy, Product Management, Trend Analysis, Market Analysis, Competitive Analysis, Brand Management, Branding, Strategic Marketing, Marketing Strategies
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Application Deployment, Dashboard, Salesforce, Cloud Deployment, Data Access, Statistical Reporting, Pivot Tables And Charts, Build Tools, Customer Relationship Management (CRM) Software
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Process Capability, Six Sigma Methodology, Statistical Process Controls, Process Analysis, Statistical Analysis, Data Analysis, Performance Measurement, Probability & Statistics, Statistical Methods, R (Software), Business Metrics, R Programming, Benchmarking, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Apache Hive, Apache Mahout, NoSQL, Apache Hadoop, Extract, Transform, Load, Big Data, Data Warehousing, Data Pipelines, Application Deployment, Databases, SQL, Applied Machine Learning, Database Development, Performance Tuning, Data Processing, File Systems, Real Time Data, Query Languages, Database Management, Database Theory
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Software Quality Assurance, Quality Assurance, Software Testing, Jira (Software), Regression Testing, Functional Testing, Test Planning, Test Case, Usability Testing, Technical Communication, Issue Tracking, Agile Methodology, Software Documentation, Software Development, Agile Project Management, Risk Management, User Interface and User Experience (UI/UX) Design, Data Analysis, Problem Solving
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Big Data, Model Training, Predictive Modeling, Google Cloud Platform, Data Access, Applied Machine Learning, Predictive Analytics, Forecasting, Data Management, Machine Learning
Intermediate · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Metadata Management, Google Cloud Platform, Data Mining, Big Data, Exploratory Data Analysis, Data Management, Cloud API
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Conversion Funnel Analysis, Web Analytics, Digital Analysis, Customer Analysis, Product Management, Customer Insights, Analytics, Business Analysis, Root Cause Analysis, User Flows, Performance Analysis, Data Presentation, Performance Metric, Key Performance Indicators (KPIs), Data Collection, Regression Analysis, Event Monitoring, Data Capture, Taxonomy
Intermediate · Course · 1 - 4 Weeks