This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem.
Este curso forma parte de Programa especializado: Ciencias de los Datos Aplicada con Python
Acerca de este Curso
Qué aprenderás
Represent and manipulate networked data using the NetworkX library
Analyze the connectivity of a network
Measure the importance or centrality of a node in a network
Predict the evolution of networks over time
Habilidades que obtendrás
- Graph Theory
- Network Analysis
- Python Programming
- Social Network Analysis
Ofrecido por
Comienza a trabajar para obtener tu maestría
Programa - Qué aprenderás en este curso
Why Study Networks and Basics on NetworkX
Network Connectivity
Influence Measures and Network Centralization
Network Evolution
Reseñas
- 5 stars73,92 %
- 4 stars19,99 %
- 3 stars4,11 %
- 2 stars1,02 %
- 1 star0,94 %
Principales reseñas sobre APPLIED SOCIAL NETWORK ANALYSIS IN PYTHON
The material and assignments were great and well aligned. The autograder for the Jupyter Notebooks was finicky at best and resulted in lots of time wasted getting formatting correct.
Really enjoyed the mathematical component of this course. It was fun to see how you could connect the graph theoretical components to the machine learning concepts from earlier courses.
Basic yet informative course. The videos are well paced and the presenter is instructive. The exercises are well made, putting more enphasis on what was learned in the videos.
This was an excellent overview of using and analyzing graphs with Python. I learned a lot, got to apply my learning from previous courses, and I earned my Specialization!
Acerca de Programa especializado: Ciencias de los Datos Aplicada con Python

Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Programa especializado?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.