Milestone map
Milestone map
2 milestones
Do the course work in public
1–1 weeks (10 hrs/week)
Take What is Data Science? for free and do the first two Data 8 labs, plus the book's chapter 1 and 2 examples redone in your own notebook. Keep everything in one public repo or notebook as you go. OSSU lists an IBM course on Coursera, where graded work is paid. We use the free Data 8 book and labs.
Proof required
Link your public repo or notebook with the first two Data 8 labs, plus the book's chapter 1 and 2 examples redone in your own notebook, and a screenshot or log showing the self-check passed.
What gets checked
- The lab tests pass in the notebook you share.
- The examples run top to bottom with no errors.
- Each answer says what the data shows in one plain sentence.
Common mistakes
- Copying posted answers: verifiers read the history.
- Skipping the self-check, then asking for review too early.
Powstik Guide
A public repo or notebook with the first two Data 8 labs, plus the book's chapter 1 and 2 examples redone in your own notebook.
Steps
- Make a public repo or notebook first.
- Do one unit at a time and commit after each.
- Run the self-check: Open the first two labs in Jupyter and run their tests; every test must pass.
- Write a short README: what is here and how to run it.
- Ask three people who know the topic to check it.
Template
README Course: What is Data Science? (Data 8: Computational and Inferential Thinking (free book)) What is here: How to run it: Self-check result: What was hardest:
What gets sent back
- No history, just one big upload.
- Self-check not shown.
- Code that does not run from the README.
Resources
Foundationstart here
Depthgo deeper
What a verifier looks for
- The lab tests pass in the notebook you share.
- The examples run top to bottom with no errors.
- Each answer says what the data shows in one plain sentence.
- Ask one question about a choice in the code; the answer should be clear.
You'll sign in first, then come straight back here.
Tell a short story with real data
1–3 weeks (5–8 hrs/week)
Use what you learned. Make a one-page notebook that asks one question about a public dataset, answers it with a table and a chart, and says what the answer cannot prove. Keep it small enough to finish in about two weeks.
Proof required
Link a one-page notebook that asks one question about a public dataset, answers it with a table and a chart, and says what the answer cannot prove, with a README that says how to run or read it.
What gets checked
- The data is real and its source is named.
- The chart answers the question asked.
- It says clearly what the data cannot prove (for example, cause and effect).
Common mistakes
- A project too big to finish.
- A demo that only works on your machine.
Powstik Guide
A one-page notebook that asks one question about a public dataset, answers it with a table and a chart, and says what the answer cannot prove.
Steps
- Write one line: what it does and for whom.
- Build the smallest version that works.
- Test it on someone else's machine or with someone else reading it.
- Write the README.
- Ask three people to check it.
Template
README What it does: Who it is for: How to run it: What I would do next:
What gets sent back
- Does not run from the README.
- Not clearly the person's own work.
- Claims more than it does.
Resources
Foundationstart here
Depthgo deeper
What a verifier looks for
- The data is real and its source is named.
- The chart answers the question asked.
- It says clearly what the data cannot prove (for example, cause and effect).
- Check that the work is the person's own.
You'll sign in first, then come straight back here.