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Network Analysis in R

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Course Report - Network Analysis in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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

This course will show you how to work with network data. You will use the jgraph package to create networks with edgelists or adjacency maters. Learn how to plot networks and their attributes. Next, you'll learn how to identify important vertices using measures like betweenness and degree. Next, you will learn about network structures such as cliques or triangles. Next, you'll learn how to identify special relationships between vertices by using metrics like assortativity. Learn how to create interactive network maps with threejs.

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Highlights

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Pedagogy

Top 30 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Pedagogy

Acquire all major R Programming skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R Programming, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R Programming.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

What You Will Learn

In this course you'll learn to analyze and visualize network data with the igraph package

In this course you'll learn how to work with and visualize network data

You'll learn how to identify special relationships between vertices, using metrics like assortativity

You'll see how to create interactive network plots using threejs

Course Instructors

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JAMES CURLEY

Associate Professor at UT Austin

James P. Curley is an Associate Professor in the Department of Psychology at University of Texas Austin in the Behavioral Neuroscience division. He received a Ph.D. from Cambridge University in 2003 ...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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