All Videos Tagged Analytics (Data Science Central) - Data Science Central 2020-10-31T04:38:55Z https://www.datasciencecentral.com/video/video/listTagged?tag=Analytics&rss=yes&xn_auth=no DSC Webinar Series: Developing and Testing Shiny Apps tag:www.datasciencecentral.com,2020-03-12:6448529:Video:937453 2020-03-12T23:16:49.625Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-developing-and-testing-shiny-apps"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4089184391?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Shiny is the most popular framework among R users for developing dashboards and web applications. It is commonly used by statisticians and data scientists to present and share their work with broader groups. These dashboards are often developed inside the RStudio IDE and then published to hosting servers. RStudio IDE users have been enjoying the power… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-developing-and-testing-shiny-apps"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4089184391?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Shiny is the most popular framework among R users for developing dashboards and web applications. It is commonly used by statisticians and data scientists to present and share their work with broader groups. These dashboards are often developed inside the RStudio IDE and then published to hosting servers. RStudio IDE users have been enjoying the power of Databricks clusters and other workspace features since 2018. Now they can use Shiny on Databricks as well.<br /> <br /> In this latest Data Science Central webinar, we will review how RStudio Server works on Databricks clusters and the advantages of running RStudio Server inside the Unified Data Analytics Platform. We will introduce a new addition to the Unified Platform for R users on Databricks: support for Shiny applications. This webinar will include a demo that will focus on the lifecycle of developing and testing Shiny applications inside hosted RStudio Server, as well as what can be done with a high-bandwidth connection to a powerful Apache Spark cluster.<br /> <br /> Speaker:<br /> Hossein Falaki, Tech Lead - Databricks<br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: Demystifying AI & ML: Making Your Data Talk tag:www.datasciencecentral.com,2019-10-31:6448529:Video:904296 2019-10-31T23:17:56.244Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-demystifying-ai-ml-making-your-data-talk"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3690661941?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Learn the basics of AI and Machine Learning and understand how to improve your organization’s experience and data optimization with the power of Augmented Intelligence. Provided will be an overview of an AI strategy and you will learn about our roadmap in AI, Natural language and Machine learning. In this latest Data Science Central webinar we… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-demystifying-ai-ml-making-your-data-talk"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3690661941?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Learn the basics of AI and Machine Learning and understand how to improve your organization’s experience and data optimization with the power of Augmented Intelligence. Provided will be an overview of an AI strategy and you will learn about our roadmap in AI, Natural language and Machine learning. In this latest Data Science Central webinar we will review:<br /> <br /> Basics of AI and machine learning<br /> Importance of Augmented Intelligence vs Artificial Intelligence<br /> A unique approach to AI that allows you to make the most of your data and AI investments<br /> <br /> Speaker:<br /> Vinay Kapoor, Director, Product Management - Qlik<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Self-Service Analytics: Fostering a Data-Enabled Culture tag:www.datasciencecentral.com,2018-04-17:6448529:Video:713390 2018-04-17T21:57:31.452Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-self-service-analytics-fostering-a-data"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781549569?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>“Eat Mor Chikin” might be its customer-facing slogan but, internally, maybe Chick-fil-A’s motto should be “Consume Mor Analytics.” The popular restaurant chain is about much more than just chicken sandwiches – they have fully embraced data science and analytics with the creation of the Enterprise Analytics group.<br></br> <br></br> What mysteries has… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-self-service-analytics-fostering-a-data"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781549569?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />“Eat Mor Chikin” might be its customer-facing slogan but, internally, maybe Chick-fil-A’s motto should be “Consume Mor Analytics.” The popular restaurant chain is about much more than just chicken sandwiches – they have fully embraced data science and analytics with the creation of the Enterprise Analytics group.<br /> <br /> What mysteries has Chick-fil-A unlocked by creating an analytics center of excellence? Join us for this latest DSC Webinar and hear from Korri Jones, Lead Analyst – Enterprise Analytics, as he shares how to:<br /> <br /> Partner strategically with both line of business (LOB) and IT to develop an effective analytics ecosystem that includes Alteryx, Amazon Web Services, and Tableau<br /> Tackle critical business issues with analytics, using a myriad of data, including IoT data streaming into a data lake <br /> Foster a data-enabled culture to become a "Center of Excellence" for analysts across the organization<br /> Register and learn how a leading analytics ecosystem and strategic partnership with IT can help permeate the value of self-service analytics throughout an entire organization.<br /> <br /> Speakers:<br /> Korri Jones, Data Services, Enterprise Analytics -- Chick-fil-A<br /> Raman Kaler, Sr. Manager, Alliance Marketing -- Alteryx<br /> Michael Sullivan, Solutions Engineer -- Alteryx<br /> <br /> Hosted by: <br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: rEvolutionize Your Analytics: Break Barriers to Insight tag:www.datasciencecentral.com,2018-03-27:6448529:Video:707588 2018-03-27T22:17:42.134Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-revolutionize-your-analytics-break-barriers-to"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532393?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>When it comes to breakthrough analytics, it’s vital that the various components of your ecosystem – analytics, data science, cloud, databases, etc. – work together like a well-orchestrated ensemble. However, ensuring this is not the easiest of feats.<br></br> <br></br> We know it can be the wild, wild west of data out there. Organizations’… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-revolutionize-your-analytics-break-barriers-to"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532393?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />When it comes to breakthrough analytics, it’s vital that the various components of your ecosystem – analytics, data science, cloud, databases, etc. – work together like a well-orchestrated ensemble. However, ensuring this is not the easiest of feats.<br /> <br /> We know it can be the wild, wild west of data out there. Organizations’ objectives vary, and the pressure to architect the right ecosystem is further exacerbated given the significant investment that goes into analytic infrastructures – time, people, money.<br /> <br /> Join us for our next Data Science Central webinar as we feature Radiant Advisors, experts in the selection, deployment and optimization of data analytics technology, and their recommended best practices for choosing and deploying a modern analytics ecosystem, such as Alteryx with Amazon Web Services. Learn how you can rEvolutionize your analytics and deliver the capabilities, efficiencies, and stability needed to tear down yesterday’s barriers to insight.<br /> <br /> Speakers:<br /> Raman Kaler, Sr. Manager, Alliance Marketing -- Alteryx<br /> Hasan Hboubati, Solutions Engineer -- Alteryx<br /> John O’Brien, Principal Advisor and CEO -- Radiant Advisors<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: The Analytics Lifecycle Revolution: Evolution or Extinction tag:www.datasciencecentral.com,2018-03-20:6448529:Video:705832 2018-03-20T22:38:34.162Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-analytics-lifecycle-revolution-evolution"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532273?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>With so many digital initiatives competing for resources, breaking through legacy analytic slowness and modernizing the analytics lifecycle is vital. The key is turning data assets into insight driven actions as quickly and collaboratively as possible― and without reinventing the wheel.<br></br> <br></br> Learn all about compressing the analytics… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-analytics-lifecycle-revolution-evolution"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532273?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />With so many digital initiatives competing for resources, breaking through legacy analytic slowness and modernizing the analytics lifecycle is vital. The key is turning data assets into insight driven actions as quickly and collaboratively as possible― and without reinventing the wheel.<br /> <br /> Learn all about compressing the analytics process, aligning data discovery with visualization, cataloging, preparation, blending, profiling, enrichment, and modeling into a seamless experience with industry expert Dave Wells of Eckerson Group. Levon Johnson, Manager of Employee Data and Analytics at Alaska Airlines, will further illustrate how he single-handedly elevated employee analytics from next-to-nothing (gut-driven decisions) to company-standard (data-driven/intensive).<br /> <br /> Join us for this latest DSC Webinar and find:<br /> <br /> Resolution to the analytic barriers of time, effort, and pain<br /> Deeper accuracy and efficiency through reuse and collaboration<br /> Real examples of quick-win projects and meaningful reports<br /> Break down data barriers keeping analytic teams from getting the insights that matter. It’s a new age for how companies innovate with analytics, and it’s time the analytics process caught up.<br /> <br /> Speakers:<br /> Dave Wells, Practice Lead, Data Management -- Eckerson Group<br /> Levon Johnson, Manager, Employee Data &amp; Analytics -- Alaska Air Group, Inc.<br /> Lisa Aguilar, Sr. Product Marketing Manager -- Alteryx<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central