Build a Data Story Final Project

The biases identified in the dataset are logically those that affect the recommendation the student makes to a management team.

The student should clearly articulate which type of bias is present in each of the three data pipeline stages: collection, processing and insights.

The student call out the population expectations that the sample data does not possess.

The student effectively communicates his or her expectations of the population and presents the sample data to the audience in a way that clearly demonstrates a discrepancy.

The student outline the steps taken to review the quality of the dataset.

The student has analyzed each variable’s distribution (inclusive of the mean, median, and standard deviation) and understood the inclusion of any outliers.

The presentation provides insight into the data analysis carried out.

The presentation slides includes slides on data analysis carried out to reach the executive summary and recommendations.

The presentation slides include an executive summary and communicates the data story.

The student has provided speaker notes in their PPT that outline how they’d communicate an executive summary and each slide’s data output.