All Videos Tagged Analysis” (Data Science Central) - Data Science Central 2020-12-05T06:12:30Z https://www.datasciencecentral.com/video/video/listTagged?tag=Analysis%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Critical Behaviors of Data-Driven Companies tag:www.datasciencecentral.com,2020-09-17:6448529:Video:980865 2020-09-17T22:06:31.044Z Sean Welch https://www.datasciencecentral.com/profile/SeanWelch <a href="https://www.datasciencecentral.com/video/dsc-091720-tableau-webinar"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/7938949279?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Suddenly every company is a data company. Yet companies are failing at realizing value from their data investments. Data on its own cannot help you succeed. Gartner predicts by 2021, CIOs will be responsible for changing culture from a barrier to an accelerator. It requires the collective energy and support of a community that can start to tip the scales and make real cultural… <a href="https://www.datasciencecentral.com/video/dsc-091720-tableau-webinar"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/7938949279?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Suddenly every company is a data company. Yet companies are failing at realizing value from their data investments. Data on its own cannot help you succeed. Gartner predicts by 2021, CIOs will be responsible for changing culture from a barrier to an accelerator. It requires the collective energy and support of a community that can start to tip the scales and make real cultural change. Calling all data leaders, join us as we dig into the data to identify the best practices of how leaders at some of our largest customers are successfully leading the charge to put data at the center of their organization's decision making.<br /> <br /> Attend this latest Data Science Central webinar to learn how resilient organizations put data in the hands of their people and solve challenges together.<br /> <br /> Speaker: <br /> Ashley Howard Neville, Senior Technical Evangelist - Tableau<br /> <br /> Hosted by: <br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: Productive, Self-Service Data Science tag:www.datasciencecentral.com,2020-06-30:6448529:Video:960576 2020-06-30T22:05:19.734Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-productive-self-service-data-science"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/6476888073?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Data science is a core part of an organization’s digital transformation strategy.  The algorithms the data science team creates are key to reducing the amount of time key stakeholders spend on manual processes and low-level decision making. Benefits to this approach include; reducing redundant requests, streamlining communication, reducing… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-productive-self-service-data-science"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/6476888073?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Data science is a core part of an organization’s digital transformation strategy.  The algorithms the data science team creates are key to reducing the amount of time key stakeholders spend on manual processes and low-level decision making. Benefits to this approach include; reducing redundant requests, streamlining communication, reducing onboarding time and making valuable knowledge on the data searchable to the entire data science team. <br /> <br /> To create those algorithms, data scientists need high-quality, trusted data.  American Family Insurance has more than ten million active policies and processes more than one million insurance claims per year.<br /> <br /> In this latest Data Science Central webinar, discover how American Family Insurance’s use of the Alation Data Catalog is enabling more productive data science outcomes with trusted, curated data.<br /> <br /> Speakers: <br /> Sean Kappes, Data Science Engineer - American Family Insurance<br /> Raja Perumal, Data Architect - Alation<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: A Collaborative Approach to Machine Learning tag:www.datasciencecentral.com,2020-05-06:6448529:Video:950224 2020-05-06T22:52:03.941Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-a-collaborative-approach-to-machine-learning"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4798479864?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>It's generally accepted that you need a team with a wide variety of skills to build modern machine learning (ML) pipelines and make them operational. But what does that team look like, and how do they work together? These questions are especially important when the skills required are particularly specialized. When you’re developing… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-a-collaborative-approach-to-machine-learning"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4798479864?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />It's generally accepted that you need a team with a wide variety of skills to build modern machine learning (ML) pipelines and make them operational. But what does that team look like, and how do they work together? These questions are especially important when the skills required are particularly specialized. When you’re developing interactive clinical and healthcare applications (backed by specialized statistical methods and made to scale on terabytes of highly complex data), you want the right people by your side. <br /> <br /> In this latest Data Science Central webinar, we'll describe 3 healthcare and life sciences projects in which business analysts, data scientists, and ML engineers collaborated. These applications and use cases are not only focused on healthcare but across a number of industries.<br /> <br /> Tune in to learn about the latest advances in big data analytics and artificial intelligence (AI) from PerkinElmer. And see real-life examples of how TIBCO data science and analytics solutions combined with the PerkinElmer AI platform can be used to create:<br /> <br /> <br /> An imaging-based phenotypic screening of cell-based disease models using high-content screening (HCS)<br /> Clinical Translational systems designed to detect and score significant biomarkers in clinical prognostication <br /> <br /> Also, find out how, in just three days, a diverse team from TIBCO responded to a critical healthcare challenge, analyzing health outcomes using socioeconomic data from countries around the world.<br /> <br /> Speakers:<br /> <br /> Alberto Pascual, Sr. Manager of AI and Analytics Innovation - PerkinElmer, Inc.<br /> Steven Hillion, Sr. Director of Data Science - TIBCO Software, Inc. <br /> <br /> Hosted by:<br /> Sean Welch, Host and Producer - Data Science Central DSC Webinar Series: Mapping Challenges for Self-Service Analytics tag:www.datasciencecentral.com,2020-05-05:6448529:Video:949883 2020-05-05T22:40:36.243Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-mapping-challenges-for-self-service-analytics"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/4767128686?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>There are many tools designed to make mapping easy for anyone who wants to explore, analyze, and communicate the spatial patterns in their data.  In designing these tools, users experience both the benefits and limitations of systems that are designed to be easy to use and general-purpose, rather than the more complex systems that can be… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-mapping-challenges-for-self-service-analytics"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/4767128686?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />There are many tools designed to make mapping easy for anyone who wants to explore, analyze, and communicate the spatial patterns in their data.  In designing these tools, users experience both the benefits and limitations of systems that are designed to be easy to use and general-purpose, rather than the more complex systems that can be custom designed for any specific user's need. <br /> <br /> In this latest Data Science Central webinar, Research Scientist Sarah Battersby will address some of the technical design and analytics challenges such as technical base map data, map projections, and distortion.  She will also discuss the broader challenges of how people think about maps and how/why these maps will always be just a little bit—or maybe a lot—wrong. Attend and learn how to help people visualize and use spatial information more effectively.<br /> <br /> Speaker: <br /> Sarah Battersby, Research Scientist - Tableau<br /> <br /> <br /> Hosted by: <br /> Stephanie Glen, Editorial Director - Data Science Central 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