Network analysis courses can help you learn how to visualize data relationships, identify key influencers, and assess network structures. You can build skills in data collection methods, statistical analysis, and interpreting complex networks. Many courses introduce tools like Gephi, UCINET, and R, that support analyzing social networks and understanding connectivity patterns.

University of California, Davis
Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Manipulation, Data Visualization, Data Analysis, Predictive Analytics, Simulations
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Social Sciences, Statistical Analysis, R Programming, Sociology, Statistical Modeling, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Social Network Analysis, Network Analysis, Sociology, Socioeconomics, Economics, Policy, and Social Studies, Game Theory, Mathematical Modeling, Statistical Modeling, Markov Model, Bayesian Statistics, Probability
Advanced · Course · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, Combinatorics, Network Model, Mathematical Modeling, Data Structures, Transportation Operations, Image Analysis, Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Problem Solving
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Dynamic Host Configuration Protocol (DHCP), Routing Protocols, Network Routing, TCP/IP, Network Routers, Virtual Private Networks (VPN), OSI Models, Computer Networking, General Networking, Network Protocols, Networking Hardware, Network Switches, Network Troubleshooting, Local Area Networks, Network Performance Management, Network Infrastructure, Wireless Networks, Network Security, Network Model, Network Analysis
Beginner · Specialization · 3 - 6 Months

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
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution
Advanced · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms
Intermediate · Course · 1 - 4 Weeks

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
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Network Troubleshooting, Network Protocols, Network Monitoring, Network Analysis, TCP/IP, Cyber Security Assessment, Network Security, User Interface (UI)
Beginner · Course · 1 - 4 Weeks

Cisco Learning and Certifications
Skills you'll gain: Ansible, Development Environment, Postman API Platform, Restful API, Authentications, YAML, Software Development Tools, Software Development Methodologies, Software-Defined Networking, CI/CD, DevOps, IT Automation, Network Engineering, Network Architecture, Network Administration, Application Programming Interface (API), Scripting, JSON, Data Modeling, Network Protocols
Beginner · Specialization · 3 - 6 Months

LearnQuest
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, Network Monitoring, Security Strategy, Security Controls, Information Systems Security, Infrastructure Security, Cloud Management
Advanced · Specialization · 1 - 3 Months
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:
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.
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.
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.
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.
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.
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.
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.
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:
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.
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.
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.
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.
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.
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:
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.
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.
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.
Network Design and Architecture: Learn about designing and implementing network infrastructures. Study topics like subnetting, IP addressing, VLANs (Virtual LANs), and network segmentation.
Network Performance Optimization: Dive into techniques to improve network performance, including bandwidth optimization, load balancing, Quality of Service (QoS), and traffic analysis.
Network Troubleshooting: Understand how to diagnose and resolve various network issues such as connectivity problems, slow network speeds, and network configuration errors.
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.
Network Virtualization: Study concepts related to virtual networks, such as virtual LANs (VLANs), virtual routers, and virtualization technologies like VMware and Hyper-V.
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.
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.‎