Social Media Data Analytics

Description

After taking this course, you will be able to:

• Collect data from various social media sources such as YouTube, Twitter, and Flickr using various Application Programming Interface (API) services.
• Use methods such as correlation, regression, and classification to derive insights about the sources and people who generated the collected data, which is primarily structured.
• Examine unstructured data, primarily textual comments, for sentiments expressed.
• Collect, analyse, and explore social media data using various tools for research and development purposes.

Syllabus :

1. Introduction to Data Analytics

• Structured vs. Unstructured Data
• Analyzing Structured Data
• Visualization of Data

 

2. Collecting and Extracting Social Media Data

• Introduction to Python Programming
• Using Python to Extract Data from Twitter
• Using Python to Extract Data from YouTube

 

3. Data Analysis, Visualization, and Exploration

• Analyzing Social Media Data Using Python
• Introduction to R
• Social Media Data Analysis with R

 

4. Case Studies

• Sentiment Analysis with Twitter Data
• Text Mining of Twitter Data

 

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