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    Network Analysis Courses Online

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

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    Explore the Network Analysis Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Social Network Analysis

      Skills you'll gain: Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Visualization Software, Predictive Analytics, Scientific Methods, Simulations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      237 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Network Modeling and Analysis in Python

      Skills you'll gain: Data Analysis, Python Programming, Jupyter

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Social Network Analysis

      Skills you'll gain: Network Analysis, Graph Theory, Social Sciences, Statistical Analysis, R Programming, Sociology, Trend Analysis, Statistical Modeling, Statistical Hypothesis Testing

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Social Network Analysis in Python

      Skills you'll gain: Network Analysis, Network Model, Graph Theory, Data Analysis, Pandas (Python Package), Applied Machine Learning, Matplotlib, Predictive Modeling, Python Programming, Simulations, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • S

      Stanford University

      Social and Economic Networks: Models and Analysis

      Skills you'll gain: Network Analysis, Social Sciences, Sociology, Economics, Policy, and Social Studies, Game Theory, Behavioral Economics, Mathematical Modeling, Markov Model, Bayesian Statistics, Probability Distribution, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      754 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Root Cause Analysis: Principles and Benefits

      Skills you'll gain: Root Cause Analysis, Operational Efficiency, Corrective and Preventive Action (CAPA), Continuous Improvement Process, Product Quality (QA/QC), Process Improvement, Operational Excellence, Proactivity, Complex Problem Solving

      4.6
      Rating, 4.6 out of 5 stars
      ·
      76 reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Advanced Network Security

      Skills you'll gain: Incident Response, Cyber Threat Hunting, Computer Security Incident Management, Intrusion Detection and Prevention, Cyber Threat Intelligence, Continuous Monitoring, Threat Detection, Cloud Security, Disaster Recovery, Threat Management, Firewall, Security Management, Network Security, Cybersecurity, Security Information and Event Management (SIEM), Network Monitoring, Security Strategy, Security Controls, Information Systems Security, Cloud Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      70 reviews

      Advanced · Specialization · 1 - 3 Months

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

      Google

      Google Data Analytics

      Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Stakeholder Communications, LinkedIn, Interviewing Skills, Applicant Tracking Systems

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      171K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Excel Basics for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Visualization Software, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Data Visualization, Data Storage, Data Collection, Data Quality, Business Intelligence, Timelines, Microsoft Power Platform, Advanced Analytics, Database Design, Statistical Reporting, Statistical Visualization, Analytical Skills, Data Integration, Data Storage Technologies, SQL, Data Manipulation, Microsoft SQL Servers

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K 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, 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, Python Programming

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35K reviews

      Beginner · Specialization · 1 - 3 Months

    Network Analysis learners also search

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    1234…784

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

    • Social Network Analysis: University of California, Davis
    • Network Modeling and Analysis in Python: University of Michigan
    • Social Network Analysis: Johns Hopkins University
    • Applied Social Network Analysis in Python: University of Michigan
    • Social and Economic Networks: Models and Analysis: Stanford University
    • Root Cause Analysis: Principles and Benefits: Coursera Instructor Network
    • Advanced Network Security: LearnQuest
    • Google Data Analytics: Google
    • Excel Basics for Data Analysis: IBM
    • Microsoft Power BI Data Analyst: Microsoft

    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.‎

    Network data analysis involves examining relationships and interactions in connected systems using graph theory and data science techniques. It’s used to uncover patterns, influence, and structure within networks. Courses like Social Network Analysis from UC Davis on Coursera teach core methods for analyzing network data.‎

    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.

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