What's included

• Comprehensive Data Analysis

  Comprehensive Data Report: - Detailed analysis of datasets with key findings and insights. - Summary of data trends, patterns, and anomalies. Data Visualization: - Custom charts, graphs, and dashboards using Matplotlib and other visualization tools. - Interactive visualizations to explore data insights. Statistical Analysis: - Descriptive statistics (mean, median, mode, variance, etc.). - Inferential statistics (hypothesis testing, confidence intervals, etc.). Machine Learning Models: - Predictive models using algorithms like regression, classification, clustering, etc. - Model performance metrics and evaluation. Data Preprocessing: - Data cleaning and transformation. - Handling missing values, outliers, and data normalization. Database Integration: - SQL queries and scripts for data extraction and manipulation. - Integration with cloud-based data storage solutions. Presentation: - A professional presentation summarizing key insights and recommendations. - Visual aids and infographics to support the findings. Data Files: - Cleaned and processed data files in the required formats (CSV, Excel, etc.). - Source code and scripts used for the analysis.