Hands On Training

Analyzing Social Media Data in R

Name: Analyzing Social Media Data in R
Brand: Careervira
Price: 71 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

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.

Visit Course Report

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

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.

Highlights

Rating & Reviews

Top 30 Percentile

Pedagogy

Top 30 Percentile

Parameters

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.

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

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to R

What You Will Learn

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

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

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

Course Content

Expand all sections

Module 1: Understanding Twitter data

Module 2: Analyzing Twitter data

Module 3: Visualize Tweet texts

Module 4: Network Analysis and putting Twitter data on the map

Course Instructors

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...

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

Average Rating Based on 3 reviews

5.0

100%