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The goal of this data analysis project using SQL would be to identify opportunities to increase the occupancy rate on low-performing flights, which can ultimately lead to increased profitability for the airlines.

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Airlines Data Analysis using SQL and Python.ipynb
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README.md
 
 

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Airlines Data Analysis using SQL and Python

Objective:

  • The goal of this data analysis project using SQL would be to identify opportunities to increase the occupancy rate on low-performing flights, which can ultimately lead to increased profitability for the airlines.

Tools Used:

  • Python Programming Language

  • Libraries : Sqlite3, Numpy, Pandas, Scikit-learn, Seaborn

  • IDE: Jupyter Notebook

  • Dashboard: MS Power BI and MS Excel

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The goal of this data analysis project using SQL would be to identify opportunities to increase the occupancy rate on low-performing flights, which can ultimately lead to increased profitability for the airlines.

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