What's included

• Data Collection and Cleaning

  Gathering relevant data from various sources and ensuring it is clean and ready for analysis.

• Exploratory Data Analysis (EDA)

  Understanding the underlying patterns and relationships in the data through visualizations and summary statistics.

• Data Modeling and Analysis

  Applying statistical methods and machine learning models to extract insights and make predictions.

• SQL Queries and Database Integration

  Executing SQL queries to extract and manipulate data from relational databases.

• Insights and Recommendations

  Providing actionable insights and recommendations based on the data analysis.

• Presentation and Reporting

  Presenting the analysis results to stakeholders clearly and concisely.

• Code and Documentation

  Providing the complete codebase and documentation for reproducibility and future reference.

• Future Work and Next Steps

  Outlining potential future work and next steps for continued analysis and improvement.