Data Science: Capstone Rubric for Part 3

Data Science | Capstone, Part 3

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

• Frame The Problem
• Prepare and Explore Your Data
• Model

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. Create a “progress report” that documents:
   • Your approach to exploratory data analysis.
   • Your initial results.
   • Any roadblocks, setbacks, or surprises.
2. Perform initial descriptive and visual analysis of your data.
   • Identify outliers.
   • Summarize risks and limitations.
3. Discuss your proposed next steps.
   • Describe how your EDA will inform your modeling decisions.
   • What are three concrete actions you need to take next?

BONUS

1. Visualize your EDA and approach using at least two or more of the data visualizations methods we’ve covered in class.
2. Create a blog post of at least 500 words explaining your EDA so far, including your results, setbacks, and lessons learned. Link to this in your notebook.