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Intermediate Network Analysis in Python

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Certification

Intermediate Network Analysis in Python

Learn how to analyze bipartite and time series graphs.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

AnalyticsPython ProgrammingData ScienceData Analysis

Learning Goals

Herein, you'll build on your knowledge and skills to tackle more advanced problems in network analytics!
You'll gain the conceptual and practical skills to analyze evolving time series of networks, learn about bipartite graphs, and how to use bipartite graphs in product recommendation systems
You'll also learn about graph projections, why they're so useful in Data Science, and figure out the best ways to store and load graph data from files
You'll consolidate all of this knowledge in a final chapter case study, in which you'll analyze a forum dataset and come out of this course a Pythonista Network Analyst ninja!

Course Content

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Prerequisites/Requirements

Introduction to Network Analysis in Python

Instructors

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Eric Ma

Data Carpentry instructor and author of nxviz package

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Course Overview

Case Studies, Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

Case-Based Learning

International faculty

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Course Cover

₹1,093

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