Capstone Project for Data Science

Our final project asks you to apply your skills to a business problem of your choice. The capstone is an opportunity for you to demonstrate your new skills and tackle a pressing issue relevant to your team, division, or organization. You’ll generate a hypothesis, analyze internal data, and generate a working model, prototype, solution, or recommendation.

You will get structured guidance and designated time to work throughout the course. Final project deliverables include:

• Project Proposal: Describe your chosen problem and whether you have access to relevant data.
• Project Brief: Share a brief summary of your initial analysis and next steps in order to get assistance from your instructional team.
• Technical Notebook: Submit a cleanly formatted Jupyter notebook (or other files) documenting your code and process for technical/peer stakeholders.
• Presentation: Present a summary of your business problem, approach, and recommendation to an audience of non-technical executive stakeholders.

• Check out our requirements doc for a detailed walkthrough of our final project deliverable requirements.
• If you're looking for final project ideas, check out this list of ideas curated from successful past projects.

• Project 1: Monday, September 19, 2022
• Project 2: Monday, October 3, 2022
• Project 3: Monday, October 17, 2022
• Project 4 (Final):
  • Proposal + Dataset: Wednesday, September 21, 2022
  • Initial EDA Brief: Wedenesday, October 12, 2022
  • Technical Report: Monday, November 7, 2022
  • Presentation: Monday, November 7, 2022

For all deliverables, requirements will be evaluated on a simple point scale of 0, 1, or 2. Additionally, instructors will provide you with feedback on required portions of your project.

Note: Scores of 2 mean that a requirement has been completely fulfilled, while 3 is typically reserved for bonus objectives.

Instructors will explain how to submit project deliverables. Depending on the deliverable, this may be done by:

• Creating a repository in your github profile, hosting your materials, and sharing a link with your instructor.
• Creating a document or slide deck/PDF to share with an audience.