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Web Analytics
OVERVIEW
CEA CAPA Partner Institution: Universidad Carlos III de Madrid
Location: Madrid, Spain
Primary Subject Area: Computer Engineering
Instruction in: English
Course Code: 16507
Transcript Source: Partner Institution
Course Details: Level 400
Recommended Semester Credits: 3
Contact Hours: 42
Prerequisites: Programming (Course 1, Semester 1)
Data structures and Algorithms (Course 1, Semester 2)
Data Base (Course 2, Semester 1)
Web Applications (Course 3, Semester 1)
DESCRIPTION
1. Data Collection in the Web ecosystem:
1.1 Scrapers, Crawlers
1.2 APIs
2. Data Analytics in the web
2.1 Graph Analysis: Centrality and Influence metrics
2.2 Network structure:
2.2.1 Type of networks (bipartite graph, small world, scale free)
2.2.2 Clustering, Community Detection, K-core decomposition
3. Web data visualization
3.1 Representation of web information.
3.2 Visualization tools.
4. Final Web Analytics Project
4.1 The project needs to include the three components presented above (Data Collection, Data Analytics and Data Visualization
1.1 Scrapers, Crawlers
1.2 APIs
2. Data Analytics in the web
2.1 Graph Analysis: Centrality and Influence metrics
2.2 Network structure:
2.2.1 Type of networks (bipartite graph, small world, scale free)
2.2.2 Clustering, Community Detection, K-core decomposition
3. Web data visualization
3.1 Representation of web information.
3.2 Visualization tools.
4. Final Web Analytics Project
4.1 The project needs to include the three components presented above (Data Collection, Data Analytics and Data Visualization
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