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: Data Structures, Graph Theory, Algorithms, Computational Thinking
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Customer Relationship Management (CRM) Software, Customer Relationship Management, Customer experience strategy (CX), Customer Success Management, Case Studies, Customer Acquisition Management, Customer Analysis, Brand Loyalty, Customer Relationship Building, Customer experience improvement, Customer Retention, Customer Data Management, Customer Engagement, Organizational Strategy, Marketing Automation, Salesforce, Customer Insights, Operational Analysis, Value Propositions, Market Analysis
★ 4.6 (52) · Beginner · Specialization · 1 - 3 Months

University of Michigan
Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking
★ 4.2 (14) · Intermediate · Course · 1 - 4 Weeks

Dubai College of Tourism
Skills you'll gain: Revenue Management, Market Share, Hotel Operations, Hotels and Accommodations, Market Intelligence, Competitive Analysis, Hospitality Management, Market Analysis, Key Performance Indicators (KPIs), Market Data, Benchmarking, Competitive Intelligence, Market Research, Hospitality, Performance Analysis, Performance Measurement, Technology Strategies, Data Analysis, Strategic Thinking, Data Visualization
★ 4.4 (12) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Model Evaluation, Model Training, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, Decision Tree Learning, Deep Learning, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Python Programming
★ 4.8 (69) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Threat Modeling, Feature Engineering, Anomaly Detection, Data Visualization, Data Presentation, MLOps (Machine Learning Operations), Agentic Workflows, Interactive Data Visualization, AI Orchestration, AI Security, A/B Testing, Generative AI Agents, Threat Management, Model Optimization, Open Web Application Security Project (OWASP), Technical Communication, Agentic systems, Continuous Monitoring, CI/CD, Reinforcement Learning
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Scientific Visualization, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Model Training, Statistical Methods, Supervised Learning, Model Evaluation, Machine Learning, Python Programming
★ 4.6 (68) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Ggplot2, Model Evaluation, Plot (Graphics), Regression Analysis, Predictive Analytics, Predictive Modeling, Statistical Visualization, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, R (Software), Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Analysis
★ 4.2 (13) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Target Audience, Target Market, Data-Driven Marketing, Marketing, Value Propositions, Global Marketing, Search Engine Optimization, Diversity Marketing, Brand Strategy, Marketing Planning, Marketing Strategies, Branding, Marketing Analytics, Brand Awareness, Data-Driven Decision-Making, Content Optimization, Customer Analysis, Market Research, Cultural Diversity, Consumer Behaviour
★ 4.8 (70) · Beginner · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Data Synthesis, Statistical Analysis, Data Analysis Software, Statistical Software, STATA (Software), R (Software), Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Statistical Methods, Descriptive Statistics, Regression Analysis, Logistic Regression, Informed Consent
★ 4.2 (70) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Organizational Change, Agentic Workflows, Generative AI Agents, AI Integrations, Forecasting, Workflow Management, Predictive Analytics, Cash Management, Responsible AI, Performance Tuning, Fraud detection, Financial Regulation
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Data Analysis Expressions (DAX), Data Ethics, Data Modeling, Data Governance, Data Architecture, Database Design, Power BI, Data Management, General Data Protection Regulation (GDPR), Data Warehousing, Star Schema, Personally Identifiable Information, Information Privacy, Data Visualization Software, Data Security, Data Integrity, Snowflake Schema, Relational Databases, Data Quality, Extract, Transform, Load
★ 4.7 (23) · Beginner · Course · 1 - 4 Weeks