This project presents an interactive Power BI dashboard focused on Netflix's extensive library of movies and TV shows. With over 8000+ titles available on their platform, the dashboard offers insights into key details such as cast, directors, ratings, release year, and duration.

The Netflix data analysis model, developed using the powerful combination of NumPy, Pandas, and Plotly, serves as a valuable tool for extracting meaningful insights from the streaming platform's vast dataset. This model enables users to explore and analyze various aspects of Netflix's content library, user engagement, and viewer preferences.

A comprehensive exploration of Netflix movies & TV shows and mobile datasets, featuring univariate, bivariate, and multivariate analyses. Visualizations and insights showcase trends, correlations, and patterns in the data.

EDA and visualizations conducted over the Netflix dataset.

The Netflix Data Analysis Dashboard, created with Power BI and Excel CSV files, visualizes streaming trends, viewership patterns, and popular genres. It offers interactive insights into audience demographics and content ratings, enabling informed decision-making to optimize content strategy and drive engagement on the Netflix platform.

This project leverages SQL to perform a comprehensive analysis of Netflix's movies and TV shows dataset, with the goal of uncovering actionable insights and addressing critical business questions.