What's included

• Data Cleaning and Preparation

  Removing duplicates, handling missing values, and ensuring data consistency to prepare datasets for analysis. Cleaned and well-structured datasets ready for Predictive analysis.

• Exploratory Data Analysis (EDA)

  Conducting initial investigations on data to discover patterns, spot anomalies, and test hypotheses. An EDA report with visualizations and insights about the data

• Predictive Modeling

  Building models to predict future outcomes based on historical data using techniques like regression, classification, and time series analysis. Predictive models and a report detailing the model’s performance and insights

• Segmentation Analysis

  Dividing a dataset into distinct groups based on specific criteria to identify patterns and target different segments effectively. A segmentation report with detailed profiles of each segment.

• Hypothesis Testing

  Conducting statistical tests to determine if there is enough evidence to support a specific hypothesis about the data. A hypothesis testing report with results and interpretations.

• Correlation and Causation Analysis

  Identifying relationships between variables and determining if changes in one variable cause changes in another. A report detailing the correlations and potential causal relationships within the data.

• Customized Data Solutions

  Tailoring data analysis services to meet specific business needs, such as market analysis, customer behavior analysis, or operational efficiency analysis. Customized reports and solutions based on the specific requirements of the business.

• Data Visualization

  Creating charts, graphs, and dashboards to visually represent data trends and patterns. Interactive dashboards and visualizations using Power BI