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Worked with SQL to perform complex queries and aggregations on a dataset simulating production-level content data, visualizing insights using Power BI.

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TwinHarsh/netflix_data_analysis_SQL

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Data analysis of netfllix movies and TV shows with the help of SQL

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Overview

This project involves a comprehensive analysis of Netflix's movies and TV shows data using SQL. The goal is to extract valuable insights and answer various business questions based on the dataset. The following README provides a detailed account of the project's objectives, business problems, solutions, findings, and conclusions.

Objectives

  • Analyze the distribution of content types (movies vs TV shows).
  • Identify the most common ratings for movies and TV shows.
  • List and analyze content based on release years, countries, and durations.
  • Explore and categorize content based on specific criteria and keywords.

Dataset

The data was taken from Kaggle:

Author

Harsh Nagar
A machine learning enthusiast exploring real-world applications of AI and data science.


License

This project is licensed under the MIT License - see the LICENSE file for details.

About

Worked with SQL to perform complex queries and aggregations on a dataset simulating production-level content data, visualizing insights using Power BI.

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