Social Media Analytics with Python
3.5 (47 ratings)
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Social Media Analytics with Python

Learn to extract and analyze data from Twitter, Facebook, Google and other social media sites
3.5 (47 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
511 students enrolled
Created by V2 Maestros, LLC
Last updated 1/2017
Curiosity Sale
Current price: $10 Original price: $100 Discount: 90% off
30-Day Money-Back Guarantee
  • 3.5 hours on-demand video
  • 2 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • 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
View Curriculum
  • Python

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 Python 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 python experience.

Who is the target audience?
  • Analytics Professionals
  • IT students
  • Data Analysts
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Curriculum For This Course
28 Lectures
3 Lectures 07:10

Contains slide handouts, example code and datasets

Resource Bundle
Social Media Analytics Overview
5 Lectures 38:55

Data present in Social media - content, links and comments

Social Media Data

What challenges exist that are specific to social media analytics

Challenges with Social Media Applications Development

An overview of REST API technologies

REST API overview

An introduction to authentication and authorization with OAuth

OAuth Overview

Social Media Analytics Quiz
3 questions
Twitter Analytics
2 Lectures 23:51

An overview of twitter data, authentication and authorization.

Twitter data API Overview

Getting Twitter data with Python
Google+ Analytics
2 Lectures 19:25
Google+ data API Overview

Connect to Google+ and extract data using python modules

Getting Google+ data with Python
Facebook Analytics
2 Lectures 22:09

An overview of Facebook data, authentication and authorization

Facebook data API Overview

Connect to Facebook and extract data using Python modules

Getting Facebook data with Python
Analytics Use Cases
7 Lectures 49:19
Introduction to Use Cases

Frequency Analysis use case

Frequency Analysis

Sentiment Analysis use case

Sentiment Analysis

Link Analysis use case

Link Analysis

Action Analysis use case

Action Analysis

Mining frequently occurring patterns in social media

Frequent Pattern Mining

Mining and analyzing data in real time - sentiment analysis

Real time Data Analysis
Advanced Topics
5 Lectures 43:44

Overview of machine learning - supervised and unsupervised learning

Machine Learning Overview

Converting text into numeric representation with TF-IDF


K-means clustering

Clustering messages with Python

Naive Bayes Classification

Classifying messages with Python

Linking data from other sources
2 Lectures 01:16
Closing Remarks

BONUS Lecture : Other courses you should check out
About the Instructor
V2 Maestros, LLC
4.1 Average rating
3,035 Reviews
30,591 Students
13 Courses
Big Data Science / Analytics Experts | 25K+ 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.