Social Media Analytics with R

Acquire Social Media from Twitter, Google+ and Facebook, transform, analyzer and produce insights
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  • Lectures 28
  • Length 3.5 hours
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 4/2016 English

Course Description

Everyone is using social media to share their life experiences, initiate ideas and provide opinions  in a free and open way. Businesses are hence interested in understanding what people think and say about their products and services. They are augmenting their business applications to extract, understand and analyze social media data about them. If you are working or hoping to work in the analytics world, you need to enrich your skill set with social media analytics to improve your market value.

This Social Media Analytics with R course helps you achieve exactly that ! It introduces you to the tools and technologies required to extract social media data. Twitter, Facebook and Google interfaces are covered. It then walks through multiple use cases for analyzing this data and generating business insights. The examples range from simple histograms to advanced machine learning techniques. After completing this course, you will be able to execute end-to-end social media analytics projects and integrate them with existing business applications.

This course requires previous R experience.

What are the requirements?

  • R Programming and RStudio familiarity

What am I going to get from this course?

  • Appreciate how businesses use Social Media data
  • Learn how to extract Social Media data
  • Transform Social Media data to be ready for analytics
  • Execute a number of use cases for Social Media analytics

Who is the target audience?

  • Analytics Professionals
  • IT Students
  • Data Analysts

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Introduction
About V2 Maestros
Resource Bundle for the Course
Section 2: Social Media Analytics Overview

Data present in Social media - content, links and comments

Social Media Applications

What challenges exist that are specific to social media analytics


An Overview of REST API technologies


An introduction to authentication and authorization with OAuth

Social Media Analytics Quiz
3 questions
Section 3: Twitter Analytics

An overview of twitter data, authentication and authorization


Examples of using TwitterR libraries for connecting to twitter and extracting data

Section 4: Google+ Analytics

How to setup Google+ APIs for data extraction


Examples of using Google R library to connect to Google+ and extract data

Section 5: Facebook Analytics

An overview of Facebook data, authentication and authorization


Examples of using Facebook R library to connect to Facebook and extract data

Section 6: Analytics Use Cases

Introduction to the types of use cases covered in this course


Perform basic frequency analysis


Perform sentiment analysis of tweets and posts


Analyze links - friends, followers and and find patterns


Understand social media actions and find patterns


Extract deep meanings - find items that frequently occur together and understand what they mean


Get real time streaming data from social media and then analyze them in real time and extract meaning

Section 7: Advanced Topics

Types of machine learning - Supervised and unsupervised.


Converting text into numeric representation using TF-IDF


Use clustering to group similar messages with R


Classify messages into pre-defined classes using Naive Bayes Classification algorithm


Linking social media data with enterprise data sources

Section 8: Conclusion
Closing Remarks
BONUS Lecture : Other courses you should check out

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Instructor Biography

V2 Maestros, LLC, Big Data Science / Analytics Experts | 10K+ students

V2 Maestros is dedicated to teaching big data / data science at affordable costs to the world. Our instructors have real world experience practicing big data and data science and delivering business results. Big Data Science is a hot and happening field in the IT industry. Unfortunately, the resources available for learning this skill are hard to find and expensive. We hope to ease this problem by providing quality education at affordable rates, there by building data science talent across the world.

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