What's included

• Project Proposal/Scope:

  An initial document detailing the objectives, methodologies, tools, expected outcomes, and timelines.

• Data Collection Plan:

  If the data isn't already provided by the client, this plan outlines the sources and methods to collect the necessary data.

• Cleaned and Preprocessed Data:

  Raw data is often messy. Delivering a dataset that's been cleaned, normalized, and possibly transformed is usually a key step.

• Exploratory Data Analysis (EDA) Report:

  Preliminary analysis to understand the nature of the data, its distribution, patterns, and possible outliers, often visualized using plots and charts.

• Data Modeling:

  Depending on the project, this could include predictive models, classification models, clustering models, etc.

• Interpretation and Findings Report:

  A comprehensive report explaining the results of the analysis, insights drawn, and their implications.

• Visualizations:

  Dashboards, charts, and graphs illustrating the findings. Tools like Tableau, Power BI,

• Recommendations:

  Based on the analysis, a list of actionable recommendations for the client.

• Presentation:

  A concise, visually appealing presentation (often in PowerPoint or similar tools) that summarizes the key findings and recommendations for stakeholders.