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Analyzing Social Media Data in R

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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

Analyzing data from social media can provide valuable insights. This can be used to plan campaigns, increase sales and marketing, analyze competitor data and discover untapped networks. This course will show you how to use R in order to extract and visualize Twitter data, perform network analysis, and view tweet geolocations. You will be able use various datasets to put your knowledge into practice, including tweets about celebrities, technology companies, trends and sports.

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

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Introduction to R

What You Will Learn

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Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets

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In this chapter, you’ll extract your first set of tweets using the Twitter API and functions from the powerful ‘rtweet’ library

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You’ll also learn how to extract trending topics and analyze Twitter data over time to identify interesting insights

Course Instructors

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Sowmya Vivek

Data Science Coach

Sowmya is an independent consultant and data science coach in Machine Learning, Deep Learning NLP. She has worked on different projects across Deep learning and NLP, business intelligence, workflow o...
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Vivek Vijayaraghavan

Data Science Coach

Vivek is a data science trainer and consultant in analytics specializing in the areas of machine learning and natural language processing. He is a certified six sigma black belt and business analytic...

Course Reviews

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5.0

100%

Course Cover

$12

$6

49% OFF

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