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Danilo Oliveira Vaz
Neste curso de aproximadamente 1.5 horas, com base em projeto, você irá criar um grande mapa de rede utilizando dados reais de bolsistas de uma instituição brasileira. Com essa rede mapeada, você irá fazer análises de métricas para entender algumas de suas...
Read more
Neste curso de aproximadamente 1.5 horas, com base em projeto, você irá criar um grande mapa de rede utilizando dados reais de bolsistas de uma instituição brasileira. Com essa rede mapeada, você irá fazer análises de métricas para entender algumas de suas...
Read more
Neste curso de aproximadamente 1.5 horas, com base em projeto, você irá criar um grande mapa de rede utilizando dados reais de bolsistas de uma instituição brasileira. Com essa rede mapeada, você irá fazer análises de métricas para entender algumas de suas principais características estruturais, bem como fazer uma detecção de comunidades existentes nessa rede. Os resultados dessas análises serão embutidos no mapa através de visualizações personalizadas que serão, por fim, compiladas em uma apresentação de slides interativa.
Nota: Este curso funciona melhor para aprendizes da região da América do Norte. No momento, estamos trabalhando para proporcionar a mesma experiência em outras regiões.
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Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds upon knowledge of data analysis for network building and analysis
Incorporates real-world datasets for network analysis
Examines metrics for understanding network characteristics
Guides learners through creating visualizations for complex data
Introduces community detection in networks
Appropriate for intermediate learners in data analysis and networks
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Análises de Rede com Kumu with these
activities:
Gather network analysis resources
Show steps
Organize and expand your knowledge of network analysis by compiling a collection of relevant resources.
Browse courses on
Network Analysis
Show steps
-
Search for network analysis resources.
-
Create a list of relevant resources.
-
Organize the resources into categories.
-
Add brief annotations to each resource.
-
Share the resource compilation with others.
Map network concepts
Show steps
Refresh your understanding of network concepts to aid in understanding social network analysis better.
Browse courses on
Network Concepts
Show steps
-
Draw examples of types of simple networks.
-
Create a mind-map of network concepts.
-
Review graph theory algorithms.
-
Practice writing pseudocode for graph theory algorithms.
-
Implement a graph theory algorithm in a programming language.
Explore network analysis software
Show steps
Familiarize yourself with different network analysis software and tools to enhance your technical skills.
Browse courses on
Network Analysis
Show steps
-
Identify the different types of network analysis software.
-
Choose a network analysis software.
-
Follow tutorials on how to use the software.
-
Practice using the software to analyze networks.
-
Compare the features and functionality of different network analysis software.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a visual network map
Show steps
Create a visual representation of a network to improve your understanding of network structure and dynamics.
Browse courses on
Network Visualization
Show steps
-
Choose a network dataset.
-
Select a visualization tool.
-
Design the visual representation.
-
Create the visual network map.
-
Write a brief report on your findings.
Analyze network metrics
Show steps
Practice analyzing network metrics to gain insights into network structure and dynamics.
Browse courses on
Network Metrics
Show steps
-
Review common network metrics.
-
Calculate network metrics for a given network.
-
Interpret the results of network metric analysis.
-
Write a brief report on your findings.
-
Compare the results of network metric analysis for different networks.
Discuss network analysis findings
Show steps
Exchange ideas and insights with peers to enhance your understanding of network analysis concepts and methodologies.
Browse courses on
Network Analysis
Show steps
-
Prepare a summary of your network analysis findings.
-
Join a peer study group or online forum.
-
Present your findings to the group.
-
Engage in discussions with peers.
-
Reflect on the feedback received.
Develop a network analysis plan
Show steps
Create a plan for conducting a network analysis project to improve your understanding of the research process.
Browse courses on
Network Analysis
Show steps
-
Define the research question.
-
Design the network analysis methodology.
-
Collect the network data.
-
Analyze the network data.
-
Write a research report.
Gather network analysis resources
Show steps
Organize and expand your knowledge of network analysis by compiling a collection of relevant resources.
Browse courses on
Network Analysis
Show steps
Show steps
Show steps
- Search for network analysis resources.
- Create a list of relevant resources.
- Organize the resources into categories.
- Add brief annotations to each resource.
- Share the resource compilation with others.
Map network concepts
Show steps
Refresh your understanding of network concepts to aid in understanding social network analysis better.
Browse courses on
Network Concepts
Show steps
Show steps
Show steps
- Draw examples of types of simple networks.
- Create a mind-map of network concepts.
- Review graph theory algorithms.
- Practice writing pseudocode for graph theory algorithms.
- Implement a graph theory algorithm in a programming language.
Explore network analysis software
Show steps
Familiarize yourself with different network analysis software and tools to enhance your technical skills.
Browse courses on
Network Analysis
Show steps
Show steps
Show steps
- Identify the different types of network analysis software.
- Choose a network analysis software.
- Follow tutorials on how to use the software.
- Practice using the software to analyze networks.
- Compare the features and functionality of different network analysis software.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a visual network map
Show steps
Create a visual representation of a network to improve your understanding of network structure and dynamics.
Browse courses on
Network Visualization
Show steps
Show steps
Show steps
- Choose a network dataset.
- Select a visualization tool.
- Design the visual representation.
- Create the visual network map.
- Write a brief report on your findings.
Analyze network metrics
Show steps
Practice analyzing network metrics to gain insights into network structure and dynamics.
Browse courses on
Network Metrics
Show steps
Show steps
Show steps
- Review common network metrics.
- Calculate network metrics for a given network.
- Interpret the results of network metric analysis.
- Write a brief report on your findings.
- Compare the results of network metric analysis for different networks.
Discuss network analysis findings
Show steps
Exchange ideas and insights with peers to enhance your understanding of network analysis concepts and methodologies.
Browse courses on
Network Analysis
Show steps
Show steps
Show steps
- Prepare a summary of your network analysis findings.
- Join a peer study group or online forum.
- Present your findings to the group.
- Engage in discussions with peers.
- Reflect on the feedback received.
Develop a network analysis plan
Show steps
Create a plan for conducting a network analysis project to improve your understanding of the research process.
Browse courses on
Network Analysis
Show steps
Show steps
Show steps
- Define the research question.
- Design the network analysis methodology.
- Collect the network data.
- Analyze the network data.
- Write a research report.
Career center
Learners who complete Análises de Rede com Kumu will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their skills in math and computer programming to analyze data. They then use their findings to help businesses make better decisions. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems.
Data Analyst
Data Analyst
Data Analysts use their skills in data analysis and visualization to help businesses make better decisions. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems.
Business Analyst
Business Analyst
Business Analysts use their skills in data analysis and visualization to help businesses understand their operations and make better decisions. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their skills in data analysis and visualization to help businesses optimize their operations. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems.
Market Researcher
Market Researcher
Market Researchers use their skills in data analysis and visualization to help businesses understand their customers and make better decisions. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems.
Management Consultant
Management Consultant
Management Consultants use their skills in data analysis and visualization to help businesses solve problems and improve their performance. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems.
Data Engineer
Data Engineer
Data Engineers use their skills in data analysis and visualization to design and build data pipelines. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems. Additionally, this course will also help you develop the programming skills needed to build data pipelines.
Cloud Architect
Cloud Architect
Cloud Architects use their skills in data analysis and visualization to design and build cloud computing solutions. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems. Additionally, this course will also help you develop the programming skills needed to design and build cloud computing solutions.
Systems Administrator
Systems Administrator
Systems Administrators use their skills in data analysis and visualization to manage and maintain computer systems. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems. Additionally, this course will also help you develop the programming skills needed to manage and maintain computer systems.
Data Science Manager
Data Science Manager
Data Science Managers use their skills in data analysis and visualization to lead and manage data science teams. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems. Additionally, this course will also help you develop the leadership and management skills needed to lead and manage data science teams.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use their skills in data analysis and visualization to design and build machine learning models. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems. Additionally, this course will also help you develop the programming skills needed to design and build machine learning models.
Software Engineer
Software Engineer
Software Engineers use their skills in programming and data analysis to develop and maintain software applications. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems. Additionally, this course will also help you develop the programming skills needed to develop software applications.
Database Administrator
Database Administrator
Database Administrators use their skills in data analysis and visualization to manage and maintain databases. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems. Additionally, this course will also help you develop the programming skills needed to manage and maintain databases.
Network Administrator
Network Administrator
Network Administrators use their skills in data analysis and visualization to manage and maintain computer networks. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems. Additionally, this course will also help you develop the programming skills needed to manage and maintain computer networks.
Information Security Analyst
Information Security Analyst
Information Security Analysts use their skills in data analysis and visualization to protect computer networks and systems from unauthorized access. This course can help you develop the skills needed to succeed in this role as it provides hands-on experience with data analysis and visualization tools. You'll also learn how to build and interpret network models, which can be useful for understanding complex systems. Additionally, this course will also help you develop the programming skills needed to protect computer networks and systems from unauthorized access.
For more career information including salaries, visit:
OpenCourser.com/course/6oqxyo/analises
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Análises de Rede com Kumu.
Save
Provides a comprehensive overview of network analysis, covering both theoretical and practical aspects. It valuable resource for students and researchers in a variety of fields, including computer science, social science, and biology.
Classic in the field of social network analysis. It provides a clear and concise overview of the methods and applications of network analysis, making it a valuable resource for students and researchers.
Provides a mathematical introduction to complex networks. It covers a wide range of topics, including network topology, network dynamics, and network control.
Provides a statistical physics perspective on complex networks. It covers a wide range of topics, including network formation, network evolution, and network dynamics.
Provides a social science perspective on network analysis. It covers a wide range of topics, including social networks, network theory, and network methods.
Provides a theoretical framework for understanding networks. It covers a wide range of topics, including network formation, network evolution, and network dynamics.
Provides a comprehensive overview of network science. It covers a wide range of topics, including network topology, network dynamics, and network control.
Save
Provides a review of the latest advances in network science. It covers a wide range of topics, including network topology, network dynamics, and network control.
Provides a social science perspective on network analysis. It covers a wide range of topics, including social networks, network theory, and network methods.
Provides a concise overview of social network analysis. It covers a wide range of topics, including network visualization, network analysis methods, and network applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6oqxyo/analises
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Danilo Oliveira Vaz
Good to know
Builds upon knowledge of data analysis for network building and analysis
Incorporates real-world datasets for network analysis
Examines metrics for understanding network characteristics
Guides learners through creating visualizations for complex data
Introduces community detection in networks
Appropriate for intermediate learners in data analysis and networks
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