Purpose: applying the skills from this course to a real-life example.

Skill sets descriptive analytics, inferential analytics, and predictive analytics.

The final work should consist of six major parts.

The papers must include:

A cover page.

Introduction of the business problem.

Data collection/ preparation.

Data description & selection.

Predictive modeling.

Conclusion.

1. Cover page: group id, group members, student's ID, and email addresses 2. Introduction of the business problem: description of the business problem, the final objective of this project.

3. Data collection/ preparation: the available data resources, how to perform ETL(extract, transform, load) process to get the clean data

4. Data description & selection: describe the variables in the data set, select the significant variables to build the predictive modeling

5. Predictive modeling: using linear regression to build the predictive modeling, evaluate the predictive model

6. Conclusion: interpret and communicate the result

Not asking for anyone to write a paper, I just need help with this business statistics rubric, as my question is how should I exactly map this out and what business problem would be appropriate?