Cargando…
A/B testing, a data science perspective : an introduction to data and statistics for improved U/X /
"Deciding whether or not to launch a new product or feature is a resource management bet for any Internet business. Conducting rigorous online A/B tests flattens the risk. Drawing on her experience at Airbnb, data scientist Lisa Qian offers a practical ten-step guide to designing and executing...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
[2015]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cgm a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | OR_ocn926046008 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o c | ||
| 007 | cr cna|||||||| | ||
| 007 | vz czazuu | ||
| 008 | 151022s2015 xx 077 o vleng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d OCLCF |d UAB |d OCLCO | ||
| 035 | |a (OCoLC)926046008 | ||
| 037 | |a CL0500000662 |b Safari Books Online | ||
| 050 | 4 | |a TK5105.888 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Qian, Lisa, |e speaker. | |
| 245 | 1 | 0 | |a A/B testing, a data science perspective : |b an introduction to data and statistics for improved U/X / |c with Lisa Qian. |
| 246 | 3 | 0 | |a Introduction to data and statistics for improved U/X |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly, |c [2015] | |
| 300 | |a 1 online resource (1 streaming video file (1 hr., 16 min., 49 sec.)) : |b digital, sound, color | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Title from title screen (viewed October 20, 2015). | ||
| 500 | |a Date of publication from resource description page. | ||
| 511 | 0 | |a Presenter, Lisa Qian. | |
| 520 | |a "Deciding whether or not to launch a new product or feature is a resource management bet for any Internet business. Conducting rigorous online A/B tests flattens the risk. Drawing on her experience at Airbnb, data scientist Lisa Qian offers a practical ten-step guide to designing and executing statistically sound A/B tests. Discover best practices for defining test goals and hypotheses; Learn to identify controls, treatments, key metrics, and data collection needs; Understand the role of appropriate logging in data collection; Determine how to frame your tests (size of difference detection, visitor sample size, etc.); Master the importance of testing for systematic biases; Run power tests to determine how much data to collect; Learn how experimenting on logged out users can introduce bias; Understand when cannibalization is an issue and how to deal with it; Review accepted A/B testing tools (Google Analytics, Vanity, Unbounce, among others)."--Resource description page. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Web sites |x Testing. | |
| 650 | 0 | |a User-centered system design. | |
| 650 | 0 | |a Internet marketing. | |
| 650 | 6 | |a Conception participative (Conception de systèmes) | |
| 650 | 6 | |a Marketing sur Internet. | |
| 650 | 7 | |a Internet marketing. |2 fast |0 (OCoLC)fst00977272 | |
| 650 | 7 | |a User-centered system design. |2 fast |0 (OCoLC)fst01740021 | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9781491934777/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||