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 TrialUniversity of Colorado Boulder
Skills you'll gain: Operations Research, Algorithms, Applied Mathematics, Computational Thinking, Graph Theory, Mathematical Modeling, Computer Programming, Theoretical Computer Science, Linear Algebra, Combinatorics, Python Programming, Solution Design, Probability
Skills you'll gain: Computational Thinking, Theoretical Computer Science, Mathematical Modeling, Dataflow, Mathematical Theory & Analysis, Systems Analysis, Performance Testing, Embedded Systems, Graph Theory, Technical Communication
Status: FreeÉcole normale supérieure
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Operations Research, Graph Theory, Linear Algebra, Mathematical Modeling, Probability
Status: Free TrialUniversity of Washington
Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms
Status: Free TrialTsinghua University
Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Programming Principles, Database Design, Query Languages, Computer Programming, Computer Science
Status: PreviewUniversity of Illinois Urbana-Champaign
Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Electronic Hardware, Systems Design, Electrical and Computer Engineering, Computer Engineering, Semiconductors, Network Routing, Computational Logic, Data Structures, Algorithms, Graph Theory, Linear Algebra, Applied Mathematics, Mathematical Modeling, Calculus
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability
Status: Free TrialPeking University
Skills you'll gain: Data Structures, Computational Thinking, Graph Theory, Theoretical Computer Science, Programming Principles, Algorithms, Computer Programming, Data Storage, C (Programming Language), C++ (Programming Language)
The Chinese University of Hong Kong
Skills you'll gain: Operations Research, Computational Logic, Advanced Mathematics, Combinatorics, Algorithms, Applied Mathematics, Graph Theory, Mathematical Modeling, Mathematical Software, Computational Thinking, Programming Principles, Theoretical Computer Science, Program Development, Performance Tuning, Linear Algebra
Status: FreePrinceton University
Skills you'll gain: Data Structures, Algorithms, Computer Programming, Java, Graph Theory, Theoretical Computer Science, Simulations, Performance Testing
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Technical Communication, Data Structures, Algorithms, Analysis, Computer Science, Research
Status: Free TrialSkills you'll gain: Electrical Systems, Electric Power Systems, Electrical Power, Control Systems, Electrical Equipment, Three-Phase, High Voltage, Wiring Diagram, Systems Analysis, Simulation and Simulation Software, Electrical Engineering, Network Analysis, Engineering Analysis, Numerical Analysis, Low Voltage, Mathematical Modeling, Simulations, Power Electronics, Graph Theory, Differential Equations
In summary, here are 10 of our most popular graph courses
- Approximation Algorithms and Linear Programming : University of Colorado Boulder
- Quantitative Formal Modeling and Worst-Case Performance Analysis: EIT Digital
- Approximation Algorithms Part II: École normale supérieure
- Data Manipulation at Scale: Systems and Algorithms: University of Washington
- Data Structures and Algorithms: Tsinghua University
- VLSI CAD Part II: Layout: University of Illinois Urbana-Champaign
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- 数据结构基础: Peking University
- Solving Algorithms for Discrete Optimization: The Chinese University of Hong Kong
- Алгоритмы, часть I: Princeton University
