CAPSTONE – Data Analytics Milestone One

**ABSOLUTELY must know how to use RStudio and understand data analytics. I have provided several resources along with my previous final project which relates to this Capstone project.

Resources:

Data Cleaning Techniques – https://www.upgrad.com/blog/data-cleaning-techniques/

Types of Data – https://builtin.com/data-science/data-types-statistics

Overview

You are a data analyst and your manager has assigned you a project to develop a predictive model that will support a business problem and be implemented into production. You are responsible for taking the project through the phases of CRISM-DM methodology.

Prompt

In this milestone, you will write your project summary and analytic plan. The project summary will identify the business problem, state the research question being modeled, and discuss how the solution will help the business. The analytic plan will describe each CRISP-DM phase and the activities that will be performed for each step in the project. Note that your audience is your data analytic team and data analytic manager. Refer to the CRISP-DM graphic in this weeks Module Overview for clarification of the phases.

If you have any questions after reading through the feedback on this milestone, reach out to your instructor. Remember that your instructor is a resource you should utilize throughout the course.

While you may reflect on your prior coursework, your submission must consist only of DAT 690 coursework to avoid self-plagiarism. Make sure to include the following critical elements in your paper:

• Describe the CRISP-DM Business Understanding Phase: Identify the business problem
• Describe the CRISP-DM Business Understanding Phase: State the research question
• Describe the CRISP-DM Business Understanding Phase: Discuss how the solution will help the business
• Describe the CRISP-DM Data Understanding Phase: describe, explore, and verify the data
• Describe the CRISP-DM Data Preparation Phase: select, clean, construct, and integrate the data
• Describe the CRISP-DM Modeling Phase: select, generate, build, and assess the model
• Describe the CRISP-DM Evaluation Phase: evaluate the results, review the process, and determine next steps
• Describe the CRISP-DM Deployment Phase: how the model will work in production
• Clear Communication rows: Submission has no major errors related to citations, grammar, spelling, syntax, or organization

What to Submit

Your paper must be submitted as a two- to three-page Microsoft Word document with double spacing, 12-point Times New Roman font, and one-inch margins. Be sure to cite any sources in APA format.