content-trends

Analyze and visualize Social Buzz's content trends with Python and Power BI. This project features data cleaning, modeling, and an interactive dashboard to support strategic insights for an IPO.

Job simulation project analyzing content trends and engagement on a social media platform.

This notebook cleans and analyzes Netflix titles data. It covers missing value handling, data type correction, temporal feature extraction, and content duration processing. It performs exploratory data analysis of Netflix content by country, director, and genre. Key topics: Data Cleaning, Feature Engineering, EDA, Pandas, Data Visualization.

📈 This project explores Netflix's movie and TV show dataset using SQL to uncover insights about content trends, ratings, genres, and release patterns. The analysis includes data cleaning, querying, and visualization to understand Netflix's content strategy.