Capstone Project for Data Science
Materials We Provide
|Requirements||Final project deliverable descriptions||Here|
|Sample Topics||Curated project dataset suggestions||Here|
Note: Due to variability in student project selection, sample solutions are not provided. However, you can find a wide range of prior project examples in our GA Gallery.
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.
(Suggested) Project Schedule
- Project 1: Due @ End of Unit 1
- Project 2: Due @ End of Unit 2
- Project 3: Due @ End of Unit 3
- Project 4 (Final):
- Proposal + Dataset: Due @ End of Unit 2
- Initial EDA Brief: Due @ End of Unit 3
- Technical Report: Due @ End of Unit 4
- Presentation: Due @ End of Unit 4
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.
|1||Does not meet expectations.|
|2||Meets expectations, good job!|
|3||Surpasses our wildest expectations!|
Note: Scores of
2mean that a requirement has been completely fulfilled, while
3is 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.