What's included

• Data Cleaning

  The process of removing or correcting inaccurate, incomplete, or irrelevant data to ensure the accuracy and integrity of the data set.

• Data Visualization

  The creation of visual representations of data such as graphs, charts, and maps that make it easier to understand and interpret the data.

• Statistical Analysis

  The application of statistical techniques such as regression analysis, hypothesis testing, and clustering analysis to identify patterns and trends in the data.

• Predictive Analytics

  The use of statistical models and machine learning algorithms to predict future outcomes based on historical data.

• Data Mining

  The process of extracting useful information from large data sets using techniques such as association rule mining, decision tree analysis, and neural networks.

• Data Reporting

  The creation of reports that summarize the findings of the data analysis and provide actionable insights to the stakeholders.