Project Overview
This project analyzes over 1.4 million Coursera course reviews using data science and NLP techniques. The goal is to understand learner satisfaction, identify themes in positive and negative feedback, and investigate the relationship between course popularity and course ratings.
Key Techniques Used
- Data Cleaning and Preprocessing (Pandas)
- Exploratory Data Analysis (Matplotlib, Seaborn)
- Sentiment Analysis (VADER)
- Topic Modeling (LDA)
- Word Cloud Generation