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Social Media Data Analytics

Approx. 13 hours to complete

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Course Summary

This course teaches you how to use social media analytics to measure and improve your social media marketing efforts. You'll learn how to collect and analyze data from various social media platforms to optimize your content strategies and improve your audience engagement.

Key Learning Points

Learn how to collect and analyze data from various social media platforms
Optimize your content strategies to improve audience engagement
Understand how to use social media analytics to measure the success of your marketing efforts

Learning Outcomes

Collect and analyze data from various social media platforms
Optimize content strategies to improve audience engagement
Measure the success of your social media marketing efforts

Prerequisites or good to have knowledge before taking this course

Basic understanding of social media platforms
Familiarity with Excel or Google Sheets

Course Difficulty Level

Intermediate

Course Format

Self-paced
Online
Video Lectures

Similar Courses

Social Media Marketing
Digital Marketing

Related Education Paths

Notable People in This Field

Gary Vaynerchuk
Neil Patel

Related Books

Description

Learner Outcomes: After taking this course, you will be able to:

- Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr. - Process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data. - Analyze unstructured data - primarily textual comments - for sentiments expressed in them. - Use different tools for collecting, analyzing, and exploring social media data for research and development purposes. Sample Learner Story: Data analyst wanting to leverage social media data. Isabella is a Data Analyst working as a consultant for a multinational corporation. She has experience working with Web analysis tools as well as marketing data. She wants to now expand into social media arena, trying to leverage the vast amounts of data available through various social media channels. Specifically, she wants to see how their clients, partners, and competitors view their products/services and talk about them. She hopes to build a new workflow of data analytics that incorporates traditional data processing using Web and marketing tools, as well as newer methods of using social media data. Sample Job Roles requiring these skills: - Social Media Analyst - Web Analyst - Data Analyst - Marketing and Public Relations Final Project Deliverable/ Artifact: The course will have a series of small assignments or mini-projects that involve data collection, analysis, and presentation involving various social media sources using the techniques learned in the class. The course was developed by Dr. Chirag Shah while he was a faculty member at Rutgers University. He is currently a faculty member at University of Washington.

Outline

Introduction to Data Analytics
Video-1: Introduction
Video-2: Structured vs. Unstructured Data
Video-3: Analyzing Structured Data
Video-4: Visualization of Data
Anaconda Installation
Python installation, configuration, and usage
R installation
R/RStudio Setup Guide (on Windows)
Quiz-1
Quiz-2

Collecting and Extracting Social Media Data
Video-1: Introduction
Video-2: Introduction to Python Programming
Video-3: Using Python to Extract Data from Twitter
Video-4: Using Python to Extract Data from YouTube
Errata: please read this first
Python Packages Installation
(Optional) Introduction to Python for Econometrics, Statistics and Data Analysis
Twitter libraries
Python Programming Exercise
YouTube data download using Python

Data Analysis, Visualization, and Exploration
Video-1: Introduction
Video-2: Analyzing Social Media Data Using Python
Video-3: Introduction to R
Video-4: Social Media Data Analysis with R
R Installation Guide
Installing R Packages
Statistical Analysis with R
Read this first
Scripts for converting json to csv
Data Visualization with ggplot2 (R) - Cheat Sheet
Statistical Analysis with Twitter Data

Case Studies
Video-1: Introduction
Video-2: Sentiment Analysis with Twitter Data
Video-3: Text Mining of Twitter Data
Video-4: Conclusion
NLTK
An Introduction to Network Analysis with R and statnet
Sentiment Analysis with Twitter

Summary of User Reviews

Discover how to use social media data analytics to improve your business strategy. This course has received positive reviews for its practical approach and real-life examples.

Key Aspect Users Liked About This Course

Many users appreciated the practical nature of the course and the real-life examples provided.

Pros from User Reviews

Course provides practical skills and knowledge
Real-life examples are used to illustrate concepts
Instructors are knowledgeable and engaging
Course materials are well-organized and easy to follow
Course covers a variety of social media analytics tools and techniques

Cons from User Reviews

Some users found the course content to be too basic
Course may not be suitable for advanced users
Course may be too focused on marketing and advertising
Some users found the course pace to be slow
Course may require additional research and learning outside of the course materials

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