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Statistics for Data Science

10 short modules. Each one: a simple lesson, two quick games and a 8-question quiz for its own free certificate. Finish them all, then take the full Statistics for Data Science certificate.

0 of 10 module certificates
Start module 1 →
  1. 1Why statistics mattersStatistics turns raw data into reliable conclusions.0/4
  2. 2Measures of central tendency and spreadDescribe data with averages and variability.0/4
  3. 3Probability basicsMeasure uncertainty with probability.0/4
  4. 4Probability distributionsModel data with common distributions.0/4
  5. 5Sampling and confidence intervalsEstimate population values with uncertainty.0/4
  6. 6Hypothesis testingTest claims with data using p-values.0/4
  7. 7Common statistical testsChoose the right test for your data.0/4
  8. 8Correlation and regressionMeasure relationships and predict values.0/4
  9. 9A/B testingRun experiments to make data-driven product decisions.0/4
  10. 10Statistics for machine learningApply statistical thinking to models.0/4
Final step

🏆 Full Statistics for Data Science certificate

20 questions from basic to advanced, 60% to pass. Best taken after the modules.

Get the full certificate →
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