In the "Network Interventions" course, learners will explore the foundational principles of data manipulation, visualization, and the dynamics of networks. This course stands out by seamlessly integrating theoretical knowledge with practical applications. You'll gain expertise in Relational Algebra, empowering you to construct and interpret operations that effectively manage complex datasets. The course also emphasizes the art of Network Visualization, where you will learn to create impactful visual representations of data, making complex information accessible and understandable.
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Network Visualization and Intervention
Ce cours fait partie de Spécialisation Social Media Analytics
Instructeur : Ian McCulloh
Inclus avec
Expérience recommandée
Ce que vous apprendrez
Master relational algebra operations to effectively query and manipulate complex datasets for insightful analysis.
Develop impactful network visualizations using design principles that enhance clarity and understanding of complex data.
Learn strategies for network interventions to influence behaviors and ideas, leveraging network dynamics effectively.
Compétences que vous acquerrez
- Catégorie : Information Design
- Catégorie : Strategic Intervention Skills
- Catégorie : Network Visualization Techniques
- Catégorie : Relational Algebra Operations
- Catégorie : Network Dynamics Understanding
Détails à connaître
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septembre 2024
9 devoirs
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Il y a 4 modules dans ce cours
This course will equip you with essential skills to define and apply relational algebra, extract networks, and understand the fundamentals of effective visualization. You'll learn to communicate data effectively through color and grasp the nuances of human visual perception. Additionally, we’ll explore how network structures influence the adoption of innovations and examine various intervention strategies.
Inclus
1 lecture1 plugin
In this module, you will delve into Relational Algebra, the cornerstone of database query languages, emphasizing its principles and operations. You will learn to construct relational algebra operations and interpret their significance in manipulating data. Additionally, you will acquire skills in extracting networks and relational structures from data using relational algebra, enabling you to effectively query and analyze complex datasets.
Inclus
2 vidéos5 lectures3 devoirs1 laboratoire non noté
In this module, you will explore Network Visualization, focusing on fundamental principles and techniques in information visualization. You will learn to construct and communicate networks using graphical elements and effective color usage. You will be able to understand human visual perception and its implications for visualization design. Additionally, you will develop skills in reducing visual complexity and creating impactful multivariate visualizations, essential for conveying insights from complex network data.
Inclus
5 vidéos1 lecture3 devoirs
In this module, you will explore Network diffusion and Interventions, focusing on how network structures influence the adoption of innovations and behaviors. You will learn about network interventions, including identifying opinion leaders, segmentation strategies, and intervention techniques like induction and alteration. Additionally, you will develop insights into leveraging network dynamics to effectively intervene and influence behaviors and ideas within complex social networks.
Inclus
3 vidéos2 lectures3 devoirs
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Data Analysis
Johns Hopkins University
Coursera Project Network
Johns Hopkins University
University of Michigan
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