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DS 104 Assessment

Pre- and post-tests check how your judgment changes on center and distribution, outliers and sampling, population and association, confounding and uncertainty, data quality and statistical significance, and EDA/AI review

Assessment flow

DS 104 follows the platform's assessment model: take the pre-test first, then learn and practice, then take the post-test. The pre-test and post-test are parallel but not identical forms, used to make your learning visible.

  1. Pre-test
    Taken before the course, to see your current judgment. The pre-test has no pass mark.
  2. Learn
    Complete the ten lessons across Module 1 and Module 2.
  3. Practice
    Complete the five practice tasks.
  4. Post-test
    Taken after the course; the pass mark is 80%.

Assessment content

Each test has 12 single-answer questions, covering center and distribution, outliers and sampling, population and association, confounding and uncertainty, data quality and significance, and EDA/AI review. The questions check judgment, not memorized formulas.

Question distribution per test
Skill areaQuestions
Center and distribution2
Outliers and sampling2
Population and association2
Confounding and uncertainty2
Data quality and significance2
EDA and AI review2

How it is scored

Scoring happens on the server. Correct answers and explanations never appear in public pages, downloadable files, or any response before submission. After submitting, explanations are shown only for the questions you missed.

Info

Starting the test requires the cohort code and learner code your instructor gave you. Use your learner code, not your real name.

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