Portfolio Check 1 Ideas#

Remember you’ll be graded against the rubric, but these are ideas for the structure.

Long single analysis#

Collect data from multiple sources, prepare each for analysis, and merge them together then do some exploratory data analysis. Describe each step, interpret all outputs, and put the analysis in context of the Data Science Process.

This would be one long notebook that covers all of the skills.

Several shorter reflections/analyses#

You could also submit a few shorter pieces that in total cover all of the skills. Some example formats:

Tutorial#

Write a notebook that explains a concept with examples in a real dataset and with visuals or a toy dataset (minimal number of columns rows)

Cheatsheet#

Make a detailed reference with code outputs on a topic or a few topics.

Blog post#

Write a blog post styled Notebook that compares or analyzes something, for example:

  • how do different ways of loading data compare

  • describe best practices you’ve learned and show why they’re good with examples

Correction & Reflection#

If you had trouble with an assignment so far, you can revise what you submitted and resubmit it, with reflections and explanation of what you were confused about, what you tried initially, how you eventually figured it out, and explains the correct answer. Then go a little deeper in exploring the topic in that context to also earn level 3.

Practice Problems and Solutions#

Based on the level 3 rubric descriptions, write practice problems that build off of the lecture notes. Include solutions and descriptions for each. These can be open ended or multiple choice questions with plausible distractors. A plausible distractor is an incorrect answer that represents a way that you think someone could misunderstand.

For example if the question is 37 + 15 = ?, MCQ with plausible distractors might be:

  • 52 (correct)

  • 412 (didn’t carry the one, correctly: 7+5 = 12, 3+1 = 4)

  • 42 (dropped the one 7+5 = 12, ones place is 2, 3+1 = 4)

  • 43 (carried one into wrong column, 7 + 5 = 12, 1+2 = 3, 3+1 = 3)