Data Science: Capstone Rubric for Part 1

Data Science | Capstone, Part 1

Your project criteria were derived from the following standards, taken from our data science lifecycle:

• Frame The Problem
• Prepare and Explore Your Data

Acceptable performance for these standards is based on how well you’ve performed the specific requirements listed below.

Performance Evaluation

RUBRIC

| Score | Interpretation | | — | — | | 0 | Project fails to meet the minimum requirements for this item. | | 1 | Project meets the minimum requirements for this item, but falls significantly short of portfolio-ready expectations. | | 2 | Project exceeds the minimum requirements for this item, but falls short of portfolio-ready expectations. | | 3 | Project meets or exceeds portfolio-ready expectations; demonstrates a thorough understanding of every outlined consideration. |

REQUIRED

1. Prepare a slide deck and host a 3-4 minute lightning talk on at least two potential topics for your DSI capstone project. For each topic, define all required areas:

2. Topic 1
   • Problem Statement
   • Potential Audience
   • Goals
   • Success Metrics
   • Data Source(s) (subject to change)
3. Topic 2
   • Problem Statement
   • Potential Audience
   • Goals
   • Success Metrics
   • Data Source(s) (subject to change)

BONUS

1. Beyond the two required topics, what other potential topics might you explore?
2. For all datasets, identify their source, format, and necessary action items to obtain or access them.
3. Create a blog post of at least 500 words (and 1-2 graphics!) that describes your project idea, data, and audience. Link to it in your presentation appendix.