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Intermediate Network Analysis in Python

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$12

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

DataCamp's Introduction to Network Analysis With Python is completed and you want to learn more advanced techniques to analyze social, transport, and biological networks. This course is for you! This course will allow you to increase your network analytics skills and knowledge. This course will teach you how to use inverse and bipartite graphs to analyze changing time series within networks. Data Science is all about graph projections. Learn how to store and load graph data from files. The final chapter will consolidate all of this knowledge. This chapter will teach you how to analyze forum data and become a Pythonista Network Analysis Ninja.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Network Analysis in Python

What You Will Learn

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Herein, you'll build on your knowledge and skills to tackle more advanced problems in network analytics!

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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

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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

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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 Instructors

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Eric Ma

Data Carpentry instructor and author of nxviz package

Eric uses code to solve big biological data problems at MIT. His tools of choice are: deep learning, network analysis, non-parametric and Bayesian statistics. He has domain expertise in the life scie...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover

$12

$6

49% OFF

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