🚀 Welcome to my end-to-end data analytics project! In this project, we will utilize Python and SQL to perform comprehensive data analysis. We'll leverage the Kaggle API to download datasets, utilize Pandas for data processing and cleaning, and load the data into a SQL server. Finally, we'll answer intriguing questions using SQL queries.

• Python
• SQL
• Kaggle API
• Pandas
• SQL Server

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• Data Collection: Utilize Kaggle API to download datasets.
• Data Processing: Clean and preprocess data using Pandas.
• Data Loading: Load the processed data into a SQL server.
• Analysis: Answer interesting questions using SQL queries.

1. Clone the repository to your local machine.
2. Run the Jupyter Notebook or Python script to execute the project.
3. Explore the results and insights obtained from the data analysis.

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I hope you enjoy exploring this data analytics project!

Feel free to reach out if you have any questions or feedback. Happy analyzing!