Learn Graphs and Social Network Analytics Using Python

This course is designed for beginners, and graph enthusiasts ready to analyze the world using graphs

What you’ll learn

Learn Graphs and Social Network Analytics Using Python

Create graphs using the NetworkX package
Create nodes of a graph
Create edges of a graph
Determine the attributes of a node and edges
Analyze social networks like Facebook and Twitter
Students will learn more about the properties of a graph
Learn about Clustering coefficient, Betweenness centrality, degree centrality, etc
Learn about Connected graphs, Bipartite graphs, etc
Learn about the types of graphs used for social network analysis

Requirements

Basic programming knowledge in python or another language
Access to a computer and an internet
Fundamentals of Graph Theory

Description

A BRAND NEW COURSE IS HERE! Learn Graphs and Social Network Analytics. Become a graph and social analyst today. This is a comprehensive course, simple for python enthusiasts and those with little python background. If you want to learn how to draw graphs and analyze them, this is the course for you. This course will contain some quizzes, tests, and homework assignments, as well as some real-world assignment projects. There are over 55 lectures and about 6 hours to complete the course. This course comes with live coding screenshots using iPython Notebook. Below is the list of the course summary

– Overview of networks

– Install the network module and iPython Notebooks

– Create nodes

– Add edges to nodes

– Getting attributes from a graph

– Manipulate your graphs ie.; remove nodes /edges

– Create DiGraphs/MultiGraphs/MultiDiGraphs

– Graph Generators

– Graph metrics; shortest path/clustering coefficient

– Define functions

– Visualize graphs

– Calculate nodes/degree/centrality metrics

– Some random graphs

– Small famous graphs

– Reading and writing graph files

– Social network analysis

– Subgraphs

– Facebook Social Network Analysis

Course goals :

-At the end of the course students should be able to learn some basics of graph theory

– Students should be able to analyze Facebook social networks

– Students should take the simple quizzes

– Students should know what directed and undirected graphs

– Students should be able to visualize graphs using different graph plots

– You can use this course to analyze the world as a network

– Everything in this world is now connected

– Extract useful information from graphs

Lifetime access to the course. What are you waiting for? Learn practical graph and social network analytics today that would improve your career and increase your knowledge.