Social Media Data Analytics
Intermediate
Online
3 Weeks
Free Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 2436 | yes | Coursera |
The Syllabus
Videos
- Video-1: Introduction
- Video-2: Structured vs. Unstructured Data
- Video-3: Analyzing Structured Data
- Video-4: Visualization of Data
Readings
- Anaconda Installation
- Python installation, configuration, and usage
- R installation
- R/RStudio Setup Guide (on Windows)
Practice Exercises
- Quiz-1
- Quiz-2
Videos
- 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
Readings
- Errata: please read this first
- Python Packages Installation
- (Optional) Introduction to Python for Econometrics, Statistics and Data Analysis
- Script: twitter_search.py
- Twitter libraries
- Script: youtube_search.py
Practice Exercises
- Python Programming Exercise
- YouTube data download using Python
Videos
- Video-1: Introduction
- Video-2: Analyzing Social Media Data Using Python
- Video-3: Introduction to R
- Video-4: Social Media Data Analysis with R
Readings
- Script: twitter_process.py
- Data: iqsize.csv
- 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
Practice Exercise
- Statistical Analysis with Twitter Data
Videos
- Video-1: Introduction
- Video-2: Sentiment Analysis with Twitter Data21m
- Video-3: Text Mining of Twitter Data15m
- Video-4: Conclusion
Readings
- Script: twitter_sentiments.py
- NLTK
- Script: text_mining_twitter.r
- An Introduction to Network Analysis with R and statnet
Practice Exercise
- Sentiment Analysis with Twitter
Instructors
Articles
26 May'25, 09:45 AM
22 Jun'24, 08:11 AM
4 Mar'24, 05:03 AM
3 Jun'22, 05:57 AM
2 Mar'22, 08:48 AM
26 May'25, 09:45 AM
22 Jun'24, 08:11 AM
4 Mar'24, 05:03 AM
3 Jun'22, 05:57 AM
2 Mar'22, 08:48 AM