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Análises de Rede com Kumu
Danilo Oliveira Vaz
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/6oqxyo/analises
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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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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