What's included

• Project Plan

  This is an initial plan outlining the objectives, scope, timeline, and resources required for the analysis

• Data Collection

  A dataset or datasets, cleaned and prepared for analysis. This will include raw data files, a database, or data accessed through APIs.

• Data Exploration

  This will be a summary, statistics, data visualizations, and initial insights into the data. This will help stakeholders understand the dataset's characteristics.

• Data Analysis

  The core of the project, this involves the application of statistical or machine learning techniques to answer specific questions or solve problems. It will include regression models, classification models, clustering, or other analysis methods.

• Results and Insights:

  A report or presentation summarizing the findings of the analysis. This will include actionable insights and recommendations based on the data.

• Visualizations

  These are visual representations of the data and analysis results, such as charts, graphs, and dashboards. These will aid in conveying information effectively.

• Documentation

  This is a detailed documentation of the analysis process, methodologies used, and any code or scripts written. This is essential for reproducibility and future reference.