Path: blob/master/april_18/projects/unit-projects/project-1/project1-rubric.md
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RUBRIC
Project 1 | Data Science
Your project will be assessed using the following standards, as defined by the data science workflow:
Identify & Acquire
Acceptable performance for this standard is based on how well you've applied specific learning goals within your deliverable. To review the full list of data science standards, see the course syllabus.
IDENTIFY & ACQUIRE
Meets Expectations: Did you: Demonstrate comprehension of project objectives? Articulate the goals and criteria for success? Create guiding questions to identify data and potential methods of analysis? Application of these learning goals will be assessed using the requirements below:
Performance Evaluation
Mark boxes with an 'X'
| Requirements | Incomplete (0) | Does Not Meet Expectations (1) | Meets Expectations (2) | Exceeds Expectations (3) |
|---|---|---|---|---|
| Create a data dictionary with classification of available variables | ||||
| Correctly identify features of the dataset, including the outcome and covariates/predictors | ||||
| Write a high-quality problem statement | ||||
| State the risks and assumptions of your data | ||||
| Outline exploratory analysis methods |
Notes:
Score:
Based on the requirements, you can earn a maximum of 15 points on this project.
Your total score is: #
PROGRESS REPORT
Student Check-in:
| HIGHLIGHTS | GROWTH OPPORTUNITIES | DEVELOPMENT PLAN |
|---|---|---|