All Videos Tagged Data Science (Data Science Central) - Data Science Central 2019-10-23T07:27:35Z https://www.datasciencecentral.com/video/video/listTagged?tag=Data+Science&rss=yes&xn_auth=no DSC Webinar Series: Democratizing Data and Predictive Analytics While Ensuring Governance & Transparency tag:www.datasciencecentral.com,2015-10-07:6448529:Video:333178 2015-10-07T19:35:05.158Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/democratizing-data-and-predictive-analytics"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781531194?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>As organizations empower more users to fully leverage advanced and predictive analytics to “democratize” their data and bring insights to the masses through interactive visual dashboards, they also need to provide enhanced data transparency, collaboration, and governance to gain broader acceptance and trust of the data.<br></br> <br></br> In our latest DSC webinar… <a href="https://www.datasciencecentral.com/video/democratizing-data-and-predictive-analytics"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781531194?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />As organizations empower more users to fully leverage advanced and predictive analytics to “democratize” their data and bring insights to the masses through interactive visual dashboards, they also need to provide enhanced data transparency, collaboration, and governance to gain broader acceptance and trust of the data.<br /> <br /> In our latest DSC webinar we will focus our discussion on how the combination of governed self-service data preparation, advanced analytics and data visualization can help organizations:<br /> <br /> Make informed decisions faster by empowering data architects and non-technical business analysts to visually communicate data flows and business logic.<br /> Improve transparency by removing the "Black Box" and provide actionable, accurate insights that all parties involved can trust.<br /> Ensure governance and data quality through self-service data provisioning and embedded business rules and data sourcing.<br /> Enable anyone to quickly visualize and securely share analysis through cloud-based dashboards.<br /> Speaker:<br /> Dan Donovan, Technical Evangelist, Lavastorm Analytics<br /> Paul Lilford, Director - Technology Partners, Tableau Software<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: 100 Years of Data Visualization – It’s Time to Stop Making the Same Mistakes tag:www.datasciencecentral.com,2015-10-01:6448529:Video:330472 2015-10-01T19:31:52.723Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-100-years-of-data-visualization"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781530855?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>In 1914, New Yorker Willard Brinton wrote Graphic Methods for Presenting Facts, the first book on telling stories through data and communicating information visually. Today, the volume of data in the world is exponentially increasing, the tools to transform analysis into stories are evolving—and 100 years later, Brinton’s lessons still hold true.… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-100-years-of-data-visualization"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781530855?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />In 1914, New Yorker Willard Brinton wrote Graphic Methods for Presenting Facts, the first book on telling stories through data and communicating information visually. Today, the volume of data in the world is exponentially increasing, the tools to transform analysis into stories are evolving—and 100 years later, Brinton’s lessons still hold true.<br /> <br /> In this next DSC webinar event, we will explore:<br /> <br /> Visualization basics that withstand the test of time<br /> The right charts for telling the right stories<br /> Brinton’s checklist for communicating data<br /> <br /> Speaker: Andy Cotgreave, Senior Technical Evangelist Manager --Tableau Software<br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: 5 Things Your Organization Needs to Succeed in Data Science tag:www.datasciencecentral.com,2015-09-15:6448529:Video:323642 2015-09-15T22:08:24.853Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/5-things-your-organization-needs-to-succeed-in-data-science"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781530815?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>What does it take to succeed in the world of Data Science and Analytics? It takes the right culture, people, process and governance, the ability to operationalize analytics, and special weapons and tactics.<br></br> <br></br> Join John Thuma in this latest DSC Webinar as he discusses his strategy to conquer the 5 challenges to succeed in data… <a href="https://www.datasciencecentral.com/video/5-things-your-organization-needs-to-succeed-in-data-science"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781530815?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />What does it take to succeed in the world of Data Science and Analytics? It takes the right culture, people, process and governance, the ability to operationalize analytics, and special weapons and tactics.<br /> <br /> Join John Thuma in this latest DSC Webinar as he discusses his strategy to conquer the 5 challenges to succeed in data science.<br /> <br /> Culture: Is your organization a dinosaur looking at the pretty light in the sky, unknowing of what is to come? In today’s world, you are either an innovator or slowing fading away. Learn how organizations must embrace data science to survive and flourish as the market leader.<br /> People: Do you have the right people for advanced analytics? Of course it takes statistics, programming and hard work. But it takes much more! Do you have the following traits in your team to succeed in advanced analytics? Learn the traits for success: The Pioneer, The Cattle Herder, The Muscle, and the Story Teller.<br /> Process and Governance: It takes process and governance to succeed in data science and analytics. John will share his 10 step decision making process for advanced analytics.<br /> Get Operational: If you can’t change the business process and the people acting in it with analytics then you have successfully built a science project, a bunch of technology no one uses. Not good. Start with a business problem, solve business problem, and embed analytics into the process and script out what people are going to do with it.<br /> Special Weapons and Tactics: John will share his secrets weapon to remove technology barriers and succeed in data science. Come to the webinar and find out.<br /> <br /> Speaker: John Thuma, Director, Aster Strategy and Analytics<br /> Hosted by: Bill Vorhies, Editorial Director, Data Science Central DSC Webinar Series: When is the right time for real-time? Architectural best practices for Hadoop tag:www.datasciencecentral.com,2015-08-20:6448529:Video:312963 2015-08-20T21:13:28.929Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-when-is-the-right-time-for-real-time"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532334?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>Real-time processing is an important part of your Hadoop architecture, but is it always the best approach to analytics? Join us for our latest DSC Webinar with experts from MapR and Think Big, as we delve into the decision making process around Hadoop real-time and batch processes. You will learn the ins and outs of low-latency design for analytics, as… <a href="https://www.datasciencecentral.com/video/dsc-webinar-when-is-the-right-time-for-real-time"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532334?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Real-time processing is an important part of your Hadoop architecture, but is it always the best approach to analytics? Join us for our latest DSC Webinar with experts from MapR and Think Big, as we delve into the decision making process around Hadoop real-time and batch processes. You will learn the ins and outs of low-latency design for analytics, as well as see how these designs get implemented in the real world.<br /> <br /> You will learn:<br /> <br /> Useful design patterns for building your Hadoop stack that best serves low-latency requirements<br /> Pitfalls to avoid when choosing your real-time processing option<br /> Real customer examples highlighting decision-making processes for both real-time and batch processing<br /> Panelist:<br /> Steve Wooledge, Vice President, Product Marketing -- MapR<br /> Bill Kornfeld Director, R&amp;D -- Think Big, a Teradata Company<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: How Do We Know That? An Introduction to Visualization Research tag:www.datasciencecentral.com,2015-08-04:6448529:Video:307528 2015-08-04T22:27:39.944Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-do-we-know-that-an-introduction-to"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781531182?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>Pie charts are bad, right? Bar charts are good, but stacked bars aren’t. And there are lots of other things you have probably heard. But how do we know those things? There is a very active research community that is looking into these questions and trying to find out what works and what doesn’t, how well we can see and compare certain things,… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-do-we-know-that-an-introduction-to"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781531182?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Pie charts are bad, right? Bar charts are good, but stacked bars aren’t. And there are lots of other things you have probably heard. But how do we know those things? There is a very active research community that is looking into these questions and trying to find out what works and what doesn’t, how well we can see and compare certain things, etc.<br /> <br /> In this next DSC Webinar, we will give a brief overview of some of the early roots of visualization research, as well as some of the very fundamental research that has led us to where we are right now. In addition, we will show some of the open questions that we are only starting to address.<br /> <br /> Speaker: Robert Kosara, Research Scientist --Tableau Software<br /> <br /> Hosted by: Bill Vorhies, Senior Contributing Editor -- Data Science Central