Movie_Streaming_data analysis

Movie Streaming Data Analysis

A data analysis project focused on exploring and analyzing movie streaming data, including users, movies, subscriptions, ratings, and viewing-related information.

The project uses Python, Pandas, SQLite, and SQL to explore the datasets, organize the data into a relational database, and answer a set of analytical questions using SQL queries.

The analysis covers different aspects of the data, such as user and subscription analysis, movie ratings, votes, movie types, and release years. It also demonstrates the use of advanced SQL techniques including aggregation functions, subqueries, CTEs, CASE statements, and window functions.

Tools & Technologies:

Python

Pandas

SQLite

SQL

Data Analysis & Exploration

This project demonstrates practical skills in data exploration, SQL querying, database analysis, and extracting meaningful insights from structured data.