Graph Courses
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.
Popular Graph Courses and Certifications
Status: Free TrialSkills you'll gain: Computational Thinking, Algorithms, Graph Theory, Data Structures, Computer Programming, C++ (Programming Language), Object Oriented Programming (OOP)
Status: NewBirla Institute of Technology & Science, Pilani
Skills you'll gain: Theoretical Computer Science, Computational Logic, Mathematical Theory & Analysis, Algorithms, Computational Thinking, Programming Principles, Computer Science, Data Structures, Graph Theory, Deductive Reasoning, Natural Language Processing, Logical Reasoning, Formal Learning
Status: NewStatus: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Theoretical Computer Science, Applied Mathematics, Algorithms, Cryptography, Relational Databases, Data Management
Status: Free TrialSkills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Theoretical Computer Science, Performance Tuning
Status: Free TrialUniversidad de los Andes
Skills you'll gain: NoSQL, MongoDB, Distributed Computing, Database Systems, Scalability, Big Data, Databases, Database Design, Software Architecture, Systems Architecture, Data Storage Technologies, Data Modeling, Relational Databases, Unstructured Data, Graph Theory
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Presentation, Graphic and Visual Design, Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Exploratory Data Analysis, Scatter Plots
Status: NewStatus: Free TrialSkills you'll gain: C# (Programming Language), Debugging
Status: PreviewUniversity of California, Santa Cruz
Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Graph Theory, C (Programming Language), Artificial Intelligence, Algorithms, Debugging, Data Structures, Game Design, Software Design
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning, Scalability, Design Strategies
Status: Free TrialUniversity of Michigan
Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution
Status: PreviewNorthwestern University
Skills you'll gain: Control Systems, Robotics, Simulation and Simulation Software, Graph Theory, Mathematical Software, Mathematical Modeling, Artificial Intelligence, Algorithms, Virtual Environment, Differential Equations
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics
In summary, here are 10 of our most popular graph courses
- C++: Non-Linear Data Structures: Codio
- Automata and Computability: Birla Institute of Technology & Science, Pilani
- Discrete Mathematics for Computer Science and Engineering: Birla Institute of Technology & Science, Pilani
- Java: Non-Linear Data Structures: Codio
- Datos no tradicionales en repositorios NoSQL: Universidad de los Andes
- Foundations of Data Visualization: Johns Hopkins University
- Foundations of AI in Game Development: Packt
- لغة البرمجة C++ لمبرمجي C، الجزء (ب): University of California, Santa Cruz
- Program Structure and Algorithms Part 1: Northeastern University
- Network Modeling and Analysis in Python: University of Michigan
