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.