Introduction to Data Science

INTRODUCTION

Purpose:
The final project allows you to apply what youve learned in this course to explore a real-world issue through service-learning, integrating data analysis, reflection, and presentation. The project is structured in three parts to guide your work from planning to final submission.

Grading Breakdown:

• Part 1: Draft: 10%
• Part 2: Lab Space Discussion: 10%
• Part 3: Final Paper and Video: 80%

PART 3: FINAL PAPER AND VIDEO (80%)

Purpose:
The final paper is your complete project submission, including data analysis, code, executive summary, AI reflection, and video presentation. This demonstrates your ability to apply course concepts to a real-world issue.

Grading Breakdown (within Final Paper and Video):

• Codes & Analysis: 50%
• Executive Summary: 20%
• Video Presentation: 20%
• AI Assistance Reflection: 10%

Part 3a: Codes & Analysis 50%

Instructions:

1. Problem Statement – 5 points
   • Choose a topic of interest.
   • Find a public dataset (e.g., Kaggle, Data.gov, GeorgiaData.org).
   • In Colab, write an inline comment summarizing your topic and linking the dataset.
2. Research Questions – 5 points
   • Include three specific questions as inline comments in your Colab notebook.
3. Analysis Methods
   • Analyze your data using one method per question:
     • Graph or descriptive statistics for one question. 10 points
     • t-test for another. 10 points
     • Regression analysis for the third. 10 points
   • After each result, write some inline comments interpreting your findings.
   • Include titles, axis labels, and legends for all charts. 5 points
   • Use inline comments to explain each step. 5 points
4. Export your Google Colab notebook as an ipynb file. For example: JDoeUnit2Assignment.ipynb

Part 3b: Executive Summary 20%

Instructions:

• Write a concise executive summary (~100200 words) highlighting:
  • Introduce your topics and be present on the camera. 5 points
  • Present your research questions and methods. 5 points
  • Present key findings and interpretations. 5 points
  • Walkthrough your codes or slides. 5 points
• The executive summary should be clear and professional, suitable for an executive audience.

Part 3c: Video Presentation 20%

• Create a 2-3 minute video presenting your project.
• Include:
  • Introduce your topics and be present on the camera. 5 points
  • Present your research questions and methods. 5 points
  • Present key findings and interpretations. 5 points
  • Walkthrough your codes or slides. 5 points
• Recommended tools: Camtasia, Loom, Screencastify, or

Part 3d: AI Assistance Reflection 10%

• Write a short paragraph (~100 words) describing how you used Google Colab Generative AI to assist with coding or analysis. 10 points

Submission

Submit all components of your final project as follows:

1. Google Colab Notebook – 50 points
   • Upload your .ipynb file containing all code, analysis, and inline comments.
   • Example filename: JDoeUnit2Assignment.ipynb
2. Executive Summary – 20 points
   • Submit a concise summary (~100150 words) of your key findings and recommendations.
3. Video Presentation – 20 points
   • Provide a link to your video presentation (YuJa, Google Drive, or direct upload).
4. AI Assistance Statement – 10 points
   • Include a short paragraph describing how you used Google Colab Generative AI to support your project, citing any contributions.

The final paper and video will be graded using .