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Introduction to 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

Beginner

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Networks are everywhere. They can be found on social media platforms like Facebook, Twitter, and even transportation networks such as bike-sharing networks. Data scientists will be able to open up new opportunities by learning how to analyze them. This course will show you how to analyze, visualize, and make sense of networks. NetworkX will allow you to apply these concepts to real-world data. With the knowledge gained in this course, you'll be able see your data differently and will improve your network thinking skills.

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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Python Data Science Toolbox (Part 2)

What You Will Learn

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This course will equip you with the skills to analyze, visualize, and make sense of networks

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You'll apply the concepts you learn to real-world network data using the powerful NetworkX library

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

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5.0

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Course Cover

$12

$6

49% OFF

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