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Using split tests to understand users : analytics for product managers /
"Knowledgeable product managers often deploy split tests, such as A/B tests or multivariate tests, to help them understand the impact of the changes they've made to their products, websites, and apps. This course explores some of the best tools for running split tests with a focus on how t...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
[2018]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Edgar, Matthew, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Using split tests to understand users : |b analytics for product managers / |c with Matthew Edgar. |
| 264 | 1 | |a [Place of publication not identified] : |b O'Reilly Media, |c [2018] | |
| 264 | 4 | |c ©2018 | |
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| 337 | |a video |b v |2 rdamedia | ||
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| 511 | 0 | |a Presenter, Matthew Edgar. | |
| 500 | |a Title from title screen (viewed June 4, 2018). | ||
| 520 | |a "Knowledgeable product managers often deploy split tests, such as A/B tests or multivariate tests, to help them understand the impact of the changes they've made to their products, websites, and apps. This course explores some of the best tools for running split tests with a focus on how to set up and run experiments in Google Optimize. In addition, the course describes the details of reviewing split test reports, including how to review the results of a split test in Google Analytics. After this course, participants can begin running their own split tests to find new ways to gain insight into how their users interact. While not a requirement, learners will gain the most from this course by first viewing the O'Reilly Media video course 'Using Analytics to Inform Product Design.'"--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a Google Analytics. |
| 630 | 0 | 7 | |a Google Analytics. |2 fast |0 (OCoLC)fst01783174 |
| 650 | 0 | |a Product management. | |
| 650 | 0 | |a Customer relations |x Management |x Data processing. | |
| 650 | 0 | |a Product design. | |
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Produits commerciaux |x Gestion. | |
| 650 | 6 | |a Conception de produit. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Customer relations |x Management |x Data processing. |2 fast |0 (OCoLC)fst00885540 | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Product design. |2 fast |0 (OCoLC)fst01763003 | |
| 650 | 7 | |a Product management. |2 fast |0 (OCoLC)fst01078225 | |
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