Graph courses can help you learn about graph theory, data visualization, network analysis, and algorithm design. You can build skills in identifying relationships within data, optimizing paths, and analyzing connectivity. Many courses introduce tools like Gephi, NetworkX, and Tableau, that support visualizing complex data structures and performing in-depth analysis. By working with these tools, you'll gain practical experience in transforming raw data into meaningful insights, enhancing your ability to communicate findings effectively.

Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Performance Testing, Test Tools, API Testing, Test Execution Engine, Test Data
Beginner · Guided Project · Less Than 2 Hours

Khalifa University
Skills you'll gain: AI Personalization, Sales Enablement, Customer Data Management, Sales Management, AI Enablement, Customer experience improvement, Predictive Analytics, AI Product Strategy, Customer Insights, Customer Engagement, Advanced Analytics, Large Language Modeling, Fraud detection, Artificial Intelligence, Data Integration, Network Analysis, User Feedback, Technology Roadmaps, Change Management
Beginner · Course · 1 - 3 Months

Shanghai Jiao Tong University
Skills you'll gain: Combinatorics, Graph Theory, Theoretical Computer Science, Mathematical Theory & Analysis, Advanced Mathematics, Network Analysis, Computational Thinking, Algorithms, Data Structures, Computer Science
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Deep Learning, Unsupervised Learning, Embeddings, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Model Deployment, Flask (Web Framework)
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Applied Mathematics, Estimation, Numerical Analysis, Calculus, Engineering Calculations, Mathematical Modeling, Operations Research, Derivatives, Algebra
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Transfer Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering
Intermediate · Course · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: Traffic Flow Optimization, Machine Controls, Automation, Robotics, Network Routing, Graph Theory, Algorithms, Computer Vision, Mathematical Modeling, Data Mapping, Predictive Modeling, Spatial Data Analysis, Control Systems, Estimation, Applied Mathematics
Advanced · Course · 1 - 3 Months
Skills you'll gain: Microsoft Power Automate/Flow, Microsoft Power Platform, Microsoft 365, Data Integration, Digital Transformation, React.js, Frontend Performance, Business Process Automation, Web Development Tools, Automation, Process Optimization, Application Programming Interface (API), Data Transformation, Integration Testing, Development Testing
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Algorithms
Advanced · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking
Advanced · Course · 1 - 3 Months