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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 Trial
    Free Trial
    U

    University of California San Diego

    Delivery Problem

    Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Operations Research, Applied Mathematics, Python Programming, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    376 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Apache Spark with Scala – Hands-On with Big Data!

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    MapReduce with Hadoop: Analyze, Design & Deploy

    Skills you'll gain: Apache Hadoop, Big Data, Application Deployment, Social Network Analysis, Data Processing, Distributed Computing, Java, Text Mining, Graph Theory, File Systems

    Mixed · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Theoretical Computer Science, Operations Research, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Obsidian for Beginners: Journal and Track Tasks

    Skills you'll gain: Collaborative Software, Journals, Organizational Skills, Productivity, Timelines, Productivity Software, Project Management Software, Information Architecture, Project Management, Personal Development, Query Languages

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Pattern Discovery in Data Mining

    Skills you'll gain: Data Mining, Big Data, Anomaly Detection, Text Mining, Unstructured Data, Exploratory Data Analysis, Spatial Analysis, Advanced Analytics, Image Analysis, Algorithms, Classification Algorithms, Information Privacy

    4.3
    Rating, 4.3 out of 5 stars
    ·
    326 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Gen AI - RAG Application Development using LlamaIndex

    Skills you'll gain: Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Embeddings, Agentic systems, Application Development, Data Pipelines, Data Integration, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Genome Sequencing (Bioinformatics II)

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Biotechnology, Computational Thinking, Algorithms, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    325 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    SwiftUI Animations iOS 16 - Animate Anything with SwiftUI

    Skills you'll gain: Animations, UI Components, Apple iOS, Swift Programming, User Interface (UI), Interactive Design, Apple Xcode, Mobile Development, Object Oriented Programming (OOP), Programming Principles

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Building Custom Regional Reports with Google Analytics

    Skills you'll gain: Google Analytics, Ad Hoc Reporting, Marketing Analytics, Email Automation, Data-Driven Decision-Making, Web Analytics, Dashboard, Geospatial Information and Technology, Marketing, Data Analysis, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    274 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Improve Business Performance with Google Forms

    Skills you'll gain: Google Sheets, Data Visualization, User Feedback, Customer experience improvement, Customer Insights, Customer Analysis, Customer Service, Google Workspace, Trend Analysis, Performance Analysis, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    560 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular graph courses

  • Delivery Problem: University of California San Diego
  • Apache Spark with Scala – Hands-On with Big Data!: Packt
  • MapReduce with Hadoop: Analyze, Design & Deploy: EDUCBA
  • Approximation Algorithms: 28DIGITAL
  • Obsidian for Beginners: Journal and Track Tasks: Coursera
  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
  • Gen AI - RAG Application Development using LlamaIndex: Packt
  • Genome Sequencing (Bioinformatics II): University of California San Diego
  • SwiftUI Animations iOS 16 - Animate Anything with SwiftUI: Packt
  • Practical Predictive Analytics: Models and Methods: University of Washington

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