• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Network Analysis

    Network Analysis Courses Online

    Study network analysis for understanding complex networks. Learn about graph theory, network metrics, and data visualization.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.
    Earn a university-issued career credential in a flexible, interactive format.
    Graduate level learning within reach.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Network Analysis Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Warehousing, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34K reviews

      Beginner · Specialization · 1 - 3 Months

    • N

      NVIDIA

      Introduction to Networking

      Skills you'll gain: OSI Models, TCP/IP, Data Centers, Network Protocols, Network Infrastructure, Local Area Networks, General Networking, Network Architecture, Computer Networking, Network Switches, System Requirements

      4.6
      Rating, 4.6 out of 5 stars
      ·
      542 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Computer Networks and Network Security

      Skills you'll gain: Networking Hardware, TCP/IP, Network Security, Network Protocols, Endpoint Detection and Response, Network Routing, Cybersecurity, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Firewall, General Networking, Information Systems Security, Intrusion Detection and Prevention, Endpoint Security, Network Infrastructure, Network Planning And Design, Wireless Networks, Security Information and Event Management (SIEM), Network Analysis, Data Loss Prevention

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Wrangling, Data Visualization, SQL, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Jupyter, Data Literacy, Exploratory Data Analysis, Data Mining, Data Cleansing, Matplotlib, Data Analysis, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Business and Financial Modeling

      Skills you'll gain: Risk Modeling, Financial Statements, Probability Distribution, Mathematical Modeling, Statistical Modeling, Portfolio Management, Regression Analysis, Business Modeling, Financial Modeling, Strategic Decision-Making, Risk Management, Presentations, Decision Making, Data Visualization, Microsoft PowerPoint, Predictive Modeling, Investment Management, Data-Driven Decision-Making, Spreadsheet Software, Google Sheets

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      PwC

      Data Analysis and Presentation Skills: the PwC Approach

      Skills you'll gain: Analytics, Business Analytics, Data Analysis, Microsoft PowerPoint, Data Presentation, Presentations, Excel Formulas, Data-Driven Decision-Making, Dashboard, Data Storytelling, Business Intelligence, Microsoft Excel, Customer Analysis, Data Visualization, Data Visualization Software, Data Literacy, Big Data, Verbal Communication Skills, Data Cleansing, Spreadsheet Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: New AI skills
      New AI skills
      G

      Google

      Google Digital Marketing & E-commerce

      Skills you'll gain: Media Planning, Search Engine Marketing, Email Marketing, Data Storytelling, Social Media Strategy, Search Engine Optimization, Social Media Marketing, Content Creation, Order Fulfillment, Google Ads, Professional Networking, Online Advertising, A/B Testing, Social Media Campaigns, E-Commerce, Customer Retention, Customer experience strategy (CX), Customer Relationship Management, Campaign Management, Interviewing Skills

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT + Excel: AI-Enhanced Data Analysis & Insight

      Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, ChatGPT, Excel Macros, Excel Formulas, Data Synthesis, Microsoft Excel, Productivity, Infographics, Data Visualization, Spreadsheet Software, Data Analysis, Generative AI, Artificial Intelligence, Data Cleansing, Large Language Modeling, Interactive Data Visualization, Data Import/Export, Statistical Reporting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Linear Algebra, Analysis

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      Stanford University

      Introduction to Statistics

      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, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: New AI skills
      New AI skills
      G

      Google

      Google IT Support

      Skills you'll gain: Computer Networking, Package and Software Management, Network Troubleshooting, Systems Administration, Cloud Infrastructure, Network Administration, IT Infrastructure, Information Systems Security, TCP/IP, Network Security, File Systems, Microsoft Windows, Computer Security, Professional Networking, Application Security, Desktop Support, Computer Hardware, Technical Support, Interviewing Skills, Professional Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      202K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Network Analysis learners also search

    Network
    Computer Network
    Computer Network Programming
    Network Administration
    Network Support
    Information Systems
    Advanced IT
    Microsoft
    1234…756

    In summary, here are 10 of our most popular network analysis courses

    • Introduction to Data Analytics: IBM
    • Machine Learning: DeepLearning.AI
    • Introduction to Networking: NVIDIA
    • Computer Networks and Network Security: IBM
    • IBM Data Science: IBM
    • Business and Financial Modeling: University of Pennsylvania
    • Data Analysis and Presentation Skills: the PwC Approach: PwC
    • Google Digital Marketing & E-commerce: Google
    • ChatGPT + Excel: AI-Enhanced Data Analysis & Insight: Vanderbilt University
    • Deep Learning: DeepLearning.AI

    Skills you can learn in Computer Security And Networks

    Cybersecurity (33)
    Google (25)
    Google Cloud Platform (17)
    Internet (17)
    Cryptography (16)
    Network Security (16)
    Linux (12)
    Software Testing (12)
    Information Security (10)
    Application Programming Interfaces (8)
    Kubernetes (8)
    Web (8)

    Frequently Asked Questions about Network Analysis

    Network analysis is a method used to examine complex systems such as social networks, transportation networks, and computer networks. It involves studying the relationships between individual entities, often represented as nodes, and the connections between them, known as edges. By analyzing these connections, network analysis can provide insights into patterns, structures, and behaviors within a network. It can also help identify influential nodes, detect communities or clusters within the network, and predict the spread of information or diseases. Network analysis offers valuable applications in various fields, including sociology, computer science, marketing, and public health.‎

    To excel in Network Analysis, you will need to develop the following skills:

    1. Understanding of Networking Fundamentals: Start by gaining a solid foundation in networking principles, protocols, and technologies. Familiarize yourself with concepts like TCP/IP, DNS, OSI model, subnetting, and routing.

    2. Network Security: Learn about various security mechanisms and techniques to safeguard networks. Explore topics such as firewalls, virtual private networks (VPNs), network access control (NAC), intrusion detection systems (IDS), and encryption.

    3. Network Design and Configuration: Acquire knowledge of network design principles and methodologies. Understand how to architect and configure networks, including elements such as routers, switches, load balancers, and wireless networks.

    4. Network Troubleshooting and Analysis: Develop skills to identify and resolve network issues effectively. Learn how to use network diagnostic tools, perform packet analysis, and interpret network logs to troubleshoot various network problems.

    5. Network Monitoring and Performance Optimization: Familiarize yourself with network monitoring tools and techniques to ensure optimal performance. Explore concepts like quality of service (QoS), bandwidth management, network traffic analysis, and performance optimization strategies.

    6. Network Protocols: Gain expertise in different network protocols such as Ethernet, Wi-Fi, TCP, UDP, ICMP, HTTP, HTTPS, SMTP, and DNS. Understand their functionalities, advantages, and limitations.

    7. Data Analysis: Develop data analysis skills to extract valuable insights from network data. Understand concepts like network traffic flow, statistical analysis, anomaly detection, and data visualization to identify patterns and trends.

    8. Programming and Scripting: Acquire knowledge of programming languages like Python or Perl to automate network tasks, develop custom tools, and perform network scripting.

    Additionally, staying updated with the latest industry trends and technologies, such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV), will also be beneficial in furthering your Network Analysis skills.‎

    With network analysis skills, you can pursue a variety of job roles across multiple industries. Some potential career paths include:

    1. Network Analyst: As a network analyst, you will be responsible for monitoring and optimizing computer networks within an organization, identifying potential issues, and implementing solutions to enhance network performance.

    2. Network Administrator: Network administrators are responsible for managing, maintaining, and troubleshooting an organization's computer networks. Your responsibilities may include installing and configuring network hardware, managing user accounts and permissions, and ensuring network security.

    3. Network Security Specialist: With network analysis skills, you can specialize in network security. As a network security specialist, you will focus on securing networks, identifying vulnerabilities, implementing security measures, and responding to security incidents.

    4. Network Engineer: Network engineers design, implement, and maintain computer networks for organizations. They are responsible for network infrastructure planning, troubleshooting network issues, and ensuring network scalability and reliability.

    5. Cybersecurity Analyst: Network analysis skills can be valuable for a career in cybersecurity. As a cybersecurity analyst, you will play a crucial role in identifying and responding to network threats and vulnerabilities, conducting network forensics, and implementing security protocols.

    6. Data Analyst: Network analysis skills can also be useful in a data analysis role. Data analysts extract, clean, and analyze large datasets to identify patterns, trends, and insights. Having network analysis skills can help you work with network-related data and gain a deeper understanding of network behaviors.

    These are just a few examples, and the demand for professionals with network analysis skills is increasing in various industries, including technology, finance, healthcare, and government sectors.‎

    People who are analytical, detail-oriented, and have a strong interest in understanding how networks function and interact. They should have a solid foundation in mathematics and statistics, as well as a curiosity for exploring complex systems. Additionally, individuals with a background in computer science, data analysis, or information technology may find studying Network Analysis particularly beneficial.‎

    Here are some topics you can study that are related to Network Analysis:

    1. Network Topology: Learn about different types of network topologies such as bus, star, ring, mesh, and hybrid. Understand how data and information flow through these network structures.

    2. Network Protocols: Study the various protocols used in network communication such as TCP/IP, HTTP, FTP, DNS, and SMTP. Gain knowledge about their functionalities and how they work in networking.

    3. Network Security: Explore topics like firewalls, VPNs (Virtual Private Networks), intrusion detection systems, and encryption methods. Understand how to protect networks from unauthorized access and potential threats.

    4. Network Design and Architecture: Learn about designing and implementing network infrastructures. Study topics like subnetting, IP addressing, VLANs (Virtual LANs), and network segmentation.

    5. Network Performance Optimization: Dive into techniques to improve network performance, including bandwidth optimization, load balancing, Quality of Service (QoS), and traffic analysis.

    6. Network Troubleshooting: Understand how to diagnose and resolve various network issues such as connectivity problems, slow network speeds, and network configuration errors.

    7. Network Monitoring: Explore tools and techniques used to monitor network performance, identify bottlenecks, and track network traffic. Learn about SNMP (Simple Network Management Protocol) and network monitoring software.

    8. Network Virtualization: Study concepts related to virtual networks, such as virtual LANs (VLANs), virtual routers, and virtualization technologies like VMware and Hyper-V.

    9. Social Network Analysis: Explore methods to analyze social networks and relationships using network theory. Understand how to apply network analysis to study social interactions and behavior.

    10. Network Data Visualization: Learn about different visualization techniques and tools used to represent and analyze network data. Explore how to create visual representations of network structures and connections.

    By studying these topics, you will gain a comprehensive understanding of network analysis and its various aspects.‎

    Online Network Analysis courses offer a convenient and flexible way to enhance your knowledge or learn new Network analysis is a method used to examine complex systems such as social networks, transportation networks, and computer networks. It involves studying the relationships between individual entities, often represented as nodes, and the connections between them, known as edges. By analyzing these connections, network analysis can provide insights into patterns, structures, and behaviors within a network. It can also help identify influential nodes, detect communities or clusters within the network, and predict the spread of information or diseases. Network analysis offers valuable applications in various fields, including sociology, computer science, marketing, and public health. skills. Choose from a wide range of Network Analysis courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Network Analysis, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok