01 just-for-fun-course-promotional-video (7.66 MB)
05 data-science-in-the-ideal-versus-real-life-part-1 (28.96 MB)
06 data-science-in-the-ideal-versus-real-life-part-2 (14.63 MB)
07 examples (22.77 MB)
08 machine-learning-vs-traditional-statistics-part-1 (51.02 MB)
09 machine-learning-vs-traditional-statistics-part-2 (12.83 MB)
02 managing-the-data-pull (42.38 MB)
02 experimental-design-and-observational-analysis (35.72 MB)
03 causality-part-1 (31.25 MB)
04 causality-part-2 (30.07 MB)
05 what-can-go-wrong-confounding (16.57 MB)
02 a-b-testing (23.17 MB)
03 sampling-bias-and-random-sampling (35.68 MB)
04 blocking-and-adjustment (30.91 MB)
02 multiplicity (22.36 MB)
03 effect-size-significance-modeling (22.78 MB)
04 comparison-with-benchmark-effects (14.03 MB)
05 negative-controls (20.93 MB)
02 non-significance (20.51 MB)
03 estimation-target-is-relevant (35.56 MB)
02 report-writing (31.52 MB)
03 version-control (18.14 MB)