What's included

• Data Analysis with Python: Comprehensive Deliverables and Insights

  Upon completion of the Data Analysis with Python service, the following deliverables will be provided: 1. Data Preprocessing and Cleaning Report A detailed report outlining the steps taken to clean and preprocess the provided dataset, including handling missing values, removing outliers, data transformation, and feature engineering (if applicable). 2. Exploratory Data Analysis (EDA) A comprehensive EDA report with visualizations (charts, graphs, and plots) that provide insights into the data’s structure, trends, correlations, and patterns. This may include: Summary statistics Distribution analysis Correlation matrices Data visualizations (e.g., histograms, boxplots, scatter plots) 4. Python Code and Scripts Well-documented Python code used for data cleaning, analysis, modeling, and visualization. Code will be provided in a modular format, with clear comments explaining the logic and steps, ensuring it is reproducible for future use. 5. Final Report and Insights A final report summarizing the findings from the data analysis and modeling process. This report will include: Key insights and trends discovered Business recommendations based on the analysis Visualizations to support findings Any potential next steps for further analysis or model improvement 6. Jupyter Notebooks/Interactive Notebooks Interactive Jupyter Notebooks with the complete analysis process documented and visualized, making it easy for clients to interact with the data and models, and gain additional insights. 8. Post-Delivery Support A one-time follow-up for addressing any questions or clarifications regarding the analysis, code, or deliverables