Here are the deliverables a client can expect at the end of a data analysis project: Data Cleaning and Preparation – A cleaned dataset ready for analysis, with missing or incorrect data addressed. Exploratory Data Analysis (EDA) Report – Visual and statistical summaries to understand data trends, distributions, and outliers. Insights and Key Findings – A detailed report or presentation highlighting important patterns, relationships, and insights drawn from the data. Custom Data Visualizations – Charts, graphs, and dashboards that visually represent key insights using tools like Excel, Python, or Power BI. Predictive Models (if applicable) – Models using machine learning algorithms to forecast or predict future trends, along with explanations of their accuracy and implications. Source Files – Raw and processed data files, along with the scripts used for analysis (e.g., Excel files, Python scripts, SQL queries). Actionable Recommendations – Strategic suggestions based on data insights to help the client make informed business decisions.