The deliverables expected from the client at the end of any data analysis project can be as follows: 1. Data Cleaning Report - Report on errors in the data, near misses, and missing data. - Details of data cleaning methods and transformations used. 2. Data Profiling Report - Summary of overall statistics of the data (e.g.: mean, median, mode, distribution, etc.). - Characteristics of various features of the data and their distribution. 3. Analytical Report - Answers to the project objectives and analytical questions. - Findings and interpretations based on the information. - Data driven insights for business/decision making. 4. Data Visualization - Charts, graphs, and dashboards that clearly represent data and findings. - Visual representation of key statistics related to the analysis (e.g.: bar charts, pie charts, line graphs, heatmaps, etc.) 5. Presentation - A concise and engaging presentation to the client that includes key findings and recommendations. - These presentations are typically shared at board meetings or with decision-makers. 6. Project Summary - A summary of the key aspects of the project from start to finish, including objectives, methodology, results, and conclusions. 7. Custom Reports and Dashboards - Custom reports or interactive dashboards created to suit specific client needs. - These reports help clients easily perform real-time analysis of data. The list of these deliverables will depend on the client’s requirements, project complexity, and type, but in general these deliverables are provided at the end of a data analysis project.