08-20-2025, 10:31 AM
![[Image: th_6gnZm2VZGigbHcZE4id6o64DIV80Rq8i.avif]](https://sanet.pics/storage-11/0825/avif/th_6gnZm2VZGigbHcZE4id6o64DIV80Rq8i.avif)
Released: 08/2025
Duration: 1h 39m | .MP4 1280x720, 30 fps® | AAC, 48000 Hz, 2ch | 261 MB
Level: Advanced | Genre: eLearning | Language: English
This course empowers you to apply program evaluation to your data science projects. Learn the best practices of some of the main methods for program evaluation including A/B testing, difference-in-difference, regression discontinuity, interrupted time series, and matching problems. As part of these best practices, learn how to identify when A/B testing is not sufficient or possible and then apply your knowledge to determine if programs had an impact across a large variety of examples that leverage different methods.
Homepage:
Screenshots
![[Image: th_gEw6LaeOioQkWmCWNLkJn6SjunuoYO4b.avif]](https://sanet.pics/storage-11/0825/avif/th_gEw6LaeOioQkWmCWNLkJn6SjunuoYO4b.avif)
Download link
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