Applied Social Network Analysis in Python

This course is part of Applied Data Science with Python Specialization

Instructor: Daniel Romero

What you'll learn

  •   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

    • Skills you'll gain

  •   Matplotlib
  •   Network Model
  •   Predictive Modeling
  •   Applied Machine Learning
  •   Data Analysis
  •   Algorithms
  •   Graph Theory
  •   Network Analysis
  •   Simulations
  •   Pandas (Python Package)

    • There are 4 modules in this course

    This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.

    Network Connectivity

    Influence Measures and Network Centralization

    Network Evolution

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