Social Media Analytics with Python
4.3 (35 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
4.3 (35 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.
403 students enrolled
Created by V2 Maestros, LLC
Last updated 1/2017
English
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Includes:
  • 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
Requirements
  • Python
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 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
Expand All 28 Lectures Collapse All 28 Lectures 03:25:49
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Introduction
3 Lectures 07:10


Contains slide handouts, example code and datasets

Resource Bundle
00:01
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Social Media Analytics Overview
5 Lectures 38:55

Data present in Social media - content, links and comments

Social Media Data
03:58


What challenges exist that are specific to social media analytics

Challenges with Social Media Applications Development
07:17

An overview of REST API technologies

REST API overview
09:11

An introduction to authentication and authorization with OAuth

OAuth Overview
09:37

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

An overview of twitter data, authentication and authorization.

Twitter data API Overview
12:38

Getting Twitter data with Python
11:13
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Google+ Analytics
2 Lectures 19:25
Google+ data API Overview
07:36

Connect to Google+ and extract data using python modules

Getting Google+ data with Python
11:49
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Facebook Analytics
2 Lectures 22:09

An overview of Facebook data, authentication and authorization

Facebook data API Overview
09:59

Connect to Facebook and extract data using Python modules

Getting Facebook data with Python
12:10
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Analytics Use Cases
7 Lectures 49:19
Introduction to Use Cases
02:30

Frequency Analysis use case

Frequency Analysis
07:40

Sentiment Analysis use case

Sentiment Analysis
08:01

Link Analysis use case

Link Analysis
06:16

Action Analysis use case

Action Analysis
07:39

Mining frequently occurring patterns in social media

Frequent Pattern Mining
10:07

Mining and analyzing data in real time - sentiment analysis

Real time Data Analysis
07:06
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Advanced Topics
5 Lectures 43:44

Overview of machine learning - supervised and unsupervised learning

Machine Learning Overview
10:05

Converting text into numeric representation with TF-IDF

TF-IDF
14:53

K-means clustering

Clustering messages with Python
06:44

Naive Bayes Classification

Classifying messages with Python
08:25

Linking data from other sources
03:37
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Conclusion
2 Lectures 01:16
Closing Remarks
01:11

BONUS Lecture : Other courses you should check out
00:05
About the Instructor
V2 Maestros, LLC
4.2 Average rating
2,357 Reviews
24,383 Students
13 Courses
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.