NTRODUCTION TO DATA ANALYTICS, Spring $2024$

Final Project Description, Deliverables, Guidance & Grading Rubric

FINAL PROJECT DESCRIPTION

Considering the analytics workflow, students should work with a medium to large dataset of their

choosing, exploring the data for business and real$-$world understanding, and then prepare their results,

findings, and recommendations for a stakeholder presentation.

This will be a summation of all skills students have learned throughout the course, with an emphasis on

packaging findings for a non$-$analytic audience. Employers $-$ not to mention family and friends $-$ will

appreciate the extra effort and skill involved in communicating results with a focus on clarity and action.

When choosing a dataset, think about what you want to get out of this course, and how you would

demonstrate that knowledge to others.

DELIVERABLES, GUIDANCE, & GRADING RUBRIC

Students will be graded on $3$ components of the Final Project: Storyline, Cleaning and exploratory

analysis, and Presentation. More detail on each component is available below: