�ݺ�ߣshows by User: hilaryparker

�ݺ�ߣshows by User: hilaryparker / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: hilaryparker / Tue, 05 Apr 2022 03:30:55 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: hilaryparker WiDS Claremont 2022.pdf /slideshow/wids-claremont-2022pdf/251513502 widsclaremont2022-220405033056
Keynote talk at the WiDS Claremont 2022 conference]]>
Keynote talk at the WiDS Claremont 2022 conference]]> Tue, 05 Apr 2022 03:30:55 GMT /slideshow/wids-claremont-2022pdf/251513502 hilaryparker@slideshare.net(hilaryparker) WiDS Claremont 2022.pdf hilaryparker Keynote talk at the WiDS Claremont 2022 conference <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/widsclaremont2022-220405033056-thumbnail.jpg?width=120&height=120&fit=bounds" /> Keynote talk at the WiDS Claremont 2022 conference

WiDS Claremont 2022.pdf from Hilary Parker

]]> 72 0 https://cdn.slidesharecdn.com/ss_thumbnails/widsclaremont2022-220405033056-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 eCOTS 2020 /slideshow/ecots-2020-234294466/234294466 ecots20201-200519213316
Keynote talk on the principles of design thinking & negotiation, as they apply to statistics and data science.]]>
Keynote talk on the principles of design thinking & negotiation, as they apply to statistics and data science.]]> Tue, 19 May 2020 21:33:16 GMT /slideshow/ecots-2020-234294466/234294466 hilaryparker@slideshare.net(hilaryparker) eCOTS 2020 hilaryparker Keynote talk on the principles of design thinking & negotiation, as they apply to statistics and data science. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ecots20201-200519213316-thumbnail.jpg?width=120&height=120&fit=bounds" /> Keynote talk on the principles of design thinking & negotiation, as they apply to statistics and data science.

eCOTS 2020 from Hilary Parker

]]> 739 0 https://cdn.slidesharecdn.com/ss_thumbnails/ecots20201-200519213316-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 rstudio::conf(2019L) /slideshow/rstudioconf2019l/128404765 rstudioconf2019l-190118161300
Using Data Effectively: Beyond Art & Science]]>
Using Data Effectively: Beyond Art & Science]]> Fri, 18 Jan 2019 16:12:59 GMT /slideshow/rstudioconf2019l/128404765 hilaryparker@slideshare.net(hilaryparker) rstudio::conf(2019L) hilaryparker Using Data Effectively: Beyond Art & Science <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rstudioconf2019l-190118161300-thumbnail.jpg?width=120&height=120&fit=bounds" /> Using Data Effectively: Beyond Art & Science

rstudio::conf(2019L) from Hilary Parker

]]> 4185 6 https://cdn.slidesharecdn.com/ss_thumbnails/rstudioconf2019l-190118161300-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Using Data Effectively: Beyond Art and Science /hilaryparker/using-data-effectively-beyond-art-and-science qconsf2018-181107195632
Data is the lifeblood of every organization. Whatever our job title, each of us uses data to get our job done -- from observing a running system to improving performance to building a machine-learned model. This talk is about approaches and techniques to collect the most useful data we can, analyze it in a scientific way, and use it most effectively to drive actions and decisions. Is using data effectively an art or a science? It is both. The “art” helps us decide the “right” way to approach an analysis or an algorithm. The “science” applies statistical rigor to our inferences. But with only the art and the science, we miss something critically important. In this talk, I suggest that, beyond both art and science, the fundamental questions we need to ask of our data should be informed by the field of design and design thinking. Every designer needs to understand their intended user, whether they are designing a physical object, experimenting on a recommendation system, or making a launch decision about a product. That focus on the why -- instead of just the how and the what -- takes us to the next level. This talk with leave you with actionable insights about how to apply the lens of design thinking to help you use data more effectively in your everyday job.]]>
Data is the lifeblood of every organization. Whatever our job title, each of us uses data to get our job done -- from observing a running system to improving performance to building a machine-learned model. This talk is about approaches and techniques to collect the most useful data we can, analyze it in a scientific way, and use it most effectively to drive actions and decisions. Is using data effectively an art or a science? It is both. The “art” helps us decide the “right” way to approach an analysis or an algorithm. The “science” applies statistical rigor to our inferences. But with only the art and the science, we miss something critically important. In this talk, I suggest that, beyond both art and science, the fundamental questions we need to ask of our data should be informed by the field of design and design thinking. Every designer needs to understand their intended user, whether they are designing a physical object, experimenting on a recommendation system, or making a launch decision about a product. That focus on the why -- instead of just the how and the what -- takes us to the next level. This talk with leave you with actionable insights about how to apply the lens of design thinking to help you use data more effectively in your everyday job.]]> Wed, 07 Nov 2018 19:56:32 GMT /hilaryparker/using-data-effectively-beyond-art-and-science hilaryparker@slideshare.net(hilaryparker) Using Data Effectively: Beyond Art and Science hilaryparker Data is the lifeblood of every organization. Whatever our job title, each of us uses data to get our job done -- from observing a running system to improving performance to building a machine-learned model. This talk is about approaches and techniques to collect the most useful data we can, analyze it in a scientific way, and use it most effectively to drive actions and decisions. Is using data effectively an art or a science? It is both. The “art” helps us decide the “right” way to approach an analysis or an algorithm. The “science” applies statistical rigor to our inferences. But with only the art and the science, we miss something critically important. In this talk, I suggest that, beyond both art and science, the fundamental questions we need to ask of our data should be informed by the field of design and design thinking. Every designer needs to understand their intended user, whether they are designing a physical object, experimenting on a recommendation system, or making a launch decision about a product. That focus on the why -- instead of just the how and the what -- takes us to the next level. This talk with leave you with actionable insights about how to apply the lens of design thinking to help you use data more effectively in your everyday job. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qconsf2018-181107195632-thumbnail.jpg?width=120&height=120&fit=bounds" /> Data is the lifeblood of every organization. Whatever our job title, each of us uses data to get our job done -- from observing a running system to improving performance to building a machine-learned model. This talk is about approaches and techniques to collect the most useful data we can, analyze it in a scientific way, and use it most effectively to drive actions and decisions. Is using data effectively an art or a science? It is both. The “art” helps us decide the “right” way to approach an analysis or an algorithm. The “science” applies statistical rigor to our inferences. But with only the art and the science, we miss something critically important. In this talk, I suggest that, beyond both art and science, the fundamental questions we need to ask of our data should be informed by the field of design and design thinking. Every designer needs to understand their intended user, whether they are designing a physical object, experimenting on a recommendation system, or making a launch decision about a product. That focus on the why -- instead of just the how and the what -- takes us to the next level. This talk with leave you with actionable insights about how to apply the lens of design thinking to help you use data more effectively in your everyday job.

Using Data Effectively: Beyond Art and Science from Hilary Parker

]]> 1205 3 https://cdn.slidesharecdn.com/ss_thumbnails/qconsf2018-181107195632-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 ICOTS 2018 /slideshow/icots-2018/105637940 icots2018-180713010708
My keynote at the International Conference on Teaching Statistics. I discuss the roles of art, science and design in the practice of data science.]]>
My keynote at the International Conference on Teaching Statistics. I discuss the roles of art, science and design in the practice of data science.]]> Fri, 13 Jul 2018 01:07:08 GMT /slideshow/icots-2018/105637940 hilaryparker@slideshare.net(hilaryparker) ICOTS 2018 hilaryparker My keynote at the International Conference on Teaching Statistics. I discuss the roles of art, science and design in the practice of data science. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/icots2018-180713010708-thumbnail.jpg?width=120&height=120&fit=bounds" /> My keynote at the International Conference on Teaching Statistics. I discuss the roles of art, science and design in the practice of data science.

ICOTS 2018 from Hilary Parker

]]> 3728 11 https://cdn.slidesharecdn.com/ss_thumbnails/icots2018-180713010708-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Women in Analytics Conference, April 2018 /slideshow/women-in-analytics-conference-april-2018/93849426 women-in-analytics-180413231214
A talk on the three pillars of data work: theory, medium/deliverable, and narrative.]]>
A talk on the three pillars of data work: theory, medium/deliverable, and narrative.]]> Fri, 13 Apr 2018 23:12:14 GMT /slideshow/women-in-analytics-conference-april-2018/93849426 hilaryparker@slideshare.net(hilaryparker) Women in Analytics Conference, April 2018 hilaryparker A talk on the three pillars of data work: theory, medium/deliverable, and narrative. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/women-in-analytics-180413231214-thumbnail.jpg?width=120&height=120&fit=bounds" /> A talk on the three pillars of data work: theory, medium/deliverable, and narrative.

Women in Analytics Conference, April 2018 from Hilary Parker

]]> 3522 19 https://cdn.slidesharecdn.com/ss_thumbnails/women-in-analytics-180413231214-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Opinionated Analysis Development -- EARL SF Keynote /slideshow/opinionated-analysis-development-earl-sf-keynote/76988170 2017-06-04-earl-conf-170615223939
Keynote presentation at the EARL San Francisco 2017 Conference. https://earlconf.com/sanfrancisco/]]>
Keynote presentation at the EARL San Francisco 2017 Conference. https://earlconf.com/sanfrancisco/]]> Thu, 15 Jun 2017 22:39:33 GMT /slideshow/opinionated-analysis-development-earl-sf-keynote/76988170 hilaryparker@slideshare.net(hilaryparker) Opinionated Analysis Development -- EARL SF Keynote hilaryparker Keynote presentation at the EARL San Francisco 2017 Conference. https://earlconf.com/sanfrancisco/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2017-06-04-earl-conf-170615223939-thumbnail.jpg?width=120&height=120&fit=bounds" /> Keynote presentation at the EARL San Francisco 2017 Conference. https://earlconf.com/sanfrancisco/

Opinionated Analysis Development -- EARL SF Keynote from Hilary Parker

]]> 2662 10 https://cdn.slidesharecdn.com/ss_thumbnails/2017-06-04-earl-conf-170615223939-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Opinionated Analysis Development -- rstudio::conf /hilaryparker/opinionated-analysis-development 2017-01-14-rstudio-conf-170114193522
Talk on Opinionated Analysis Development at rstudio::conf 2017]]>
Talk on Opinionated Analysis Development at rstudio::conf 2017]]> Sat, 14 Jan 2017 19:35:22 GMT /hilaryparker/opinionated-analysis-development hilaryparker@slideshare.net(hilaryparker) Opinionated Analysis Development -- rstudio::conf hilaryparker Talk on Opinionated Analysis Development at rstudio::conf 2017 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2017-01-14-rstudio-conf-170114193522-thumbnail.jpg?width=120&height=120&fit=bounds" /> Talk on Opinionated Analysis Development at rstudio::conf 2017

Opinionated Analysis Development -- rstudio::conf from Hilary Parker

]]> 7180 7 https://cdn.slidesharecdn.com/ss_thumbnails/2017-01-14-rstudio-conf-170114193522-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 testdat: An R package for unit testing of tabular data /slideshow/2014-0701-use-r-poster-37928742/37928742 2014-07-01-userposter-140812163302-phpapp02
Poster presentation at useR! 2014 for testdat: An R package for unit testing of tabular data]]>
Poster presentation at useR! 2014 for testdat: An R package for unit testing of tabular data]]> Tue, 12 Aug 2014 16:33:02 GMT /slideshow/2014-0701-use-r-poster-37928742/37928742 hilaryparker@slideshare.net(hilaryparker) testdat: An R package for unit testing of tabular data hilaryparker Poster presentation at useR! 2014 for testdat: An R package for unit testing of tabular data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2014-07-01-userposter-140812163302-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Poster presentation at useR! 2014 for testdat: An R package for unit testing of tabular data

testdat: An R package for unit testing of tabular data from Hilary Parker

]]> 2929 2 https://cdn.slidesharecdn.com/ss_thumbnails/2014-07-01-userposter-140812163302-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://cdn.slidesharecdn.com/profile-photo-hilaryparker-48x48.jpg?cb=1649129435 hilaryparker.com https://cdn.slidesharecdn.com/ss_thumbnails/widsclaremont2022-220405033056-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/wids-claremont-2022pdf/251513502 WiDS Claremont 2022.pdf https://cdn.slidesharecdn.com/ss_thumbnails/ecots20201-200519213316-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ecots-2020-234294466/234294466 eCOTS 2020 https://cdn.slidesharecdn.com/ss_thumbnails/rstudioconf2019l-190118161300-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/rstudioconf2019l/128404765 rstudio::conf(2019L)