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.

AI CERTs
Skills you'll gain: Environmental Regulations, Environment and Resource Management, Data-Driven Decision-Making, Applied Machine Learning, Environment Health And Safety, Environment, Geospatial Information and Technology, Workforce Development, Predictive Modeling, Operations, Operations Management, Supervised Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: DevOps, CI/CD, Application Deployment, Cloud Development, Development Environment, Cloud Applications, Continuous Deployment, Version Control, Amazon Elastic Compute Cloud, Continuous Integration, Real Time Data, Kibana, Query Languages, Data Modeling, Distributed Computing, SQL, Data Mapping, NoSQL, Event-Driven Programming, Relational Databases
Beginner · Specialization · 1 - 3 Months

Erasmus University Rotterdam
Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Case Studies, Forecasting, Probability, Linear Algebra, Peer Review
Mixed · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: UI/UX Research, Surveys, Qualitative Research, Usability Testing, User Experience Design, User Research, User Experience, User Story, Prototyping, Wireframing, User Centered Design, Survey Creation, Sampling (Statistics), Design Research, Interaction Design, Ideation, A/B Testing, Conceptual Design, Web Analytics, Usability
Beginner · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: CI/CD, C# (Programming Language), Load Balancing, Continuous Integration, Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Debugging, SQL, Application Deployment, Microsoft Copilot, .NET Framework, Relational Databases, Database Management, Graph Theory, Back-End Web Development, Program Development, Data Structures
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Predictive Modeling, Predictive Analytics, Credit Risk, Supervised Learning, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Manipulation
Mixed · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution
Beginner · Course · 1 - 3 Months

Macquarie University
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation
Intermediate · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Processing, Data Mining, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Statistical Analysis, Analytics, No-Code Development, Software Installation
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra
Intermediate · Specialization · 3 - 6 Months

EIT Digital
Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Pseudocode, Theoretical Computer Science, Spatial Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Peer Review, Data Modeling, Jupyter, Data Collection, Business Analysis, Data Science, Decision Tree Learning, Predictive Modeling, Software Development Methodologies, Data Processing, Business Requirements, Data Cleansing, Data Analysis, Data Mining, Data Quality, Data Transformation, User Feedback, Feature Engineering, Stakeholder Engagement
Beginner · Course · 1 - 4 Weeks