All Videos Tagged Predictive Analytics (Data Science Central) - Data Science Central 2019-02-20T23:47:55Z https://www.datasciencecentral.com/video/video/listTagged?tag=Predictive+Analytics&rss=yes&xn_auth=no SPSS Statistics to Predict Customer Behavior tag:www.datasciencecentral.com,2017-06-28:6448529:Video:582816 2017-06-28T15:39:03.278Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/spss-statistics-to-predict-customer-behavior"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/pJ01nIxEv7uh*beiAKYC1*YVOpLTp1*jgK3yWnTukFtO1eTxzvkuruhZv4fv6xOndZfTFFMGq7hPI6j10cBmCCIYbFoi9K0C/1299773112.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In today’s world, every organization is collecting and storing massive amounts of data about their customers. In order to take full advantage of this data, you should be equipped with the right tools that are powerful, easier to use and able to draw accurate conclusions in understanding the motivations behind customer behaviors. These tools will allow you to… <a href="https://www.datasciencecentral.com/video/spss-statistics-to-predict-customer-behavior"><br /> <img src="https://api.ning.com/files/pJ01nIxEv7uh*beiAKYC1*YVOpLTp1*jgK3yWnTukFtO1eTxzvkuruhZv4fv6xOndZfTFFMGq7hPI6j10cBmCCIYbFoi9K0C/1299773112.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In today’s world, every organization is collecting and storing massive amounts of data about their customers. In order to take full advantage of this data, you should be equipped with the right tools that are powerful, easier to use and able to draw accurate conclusions in understanding the motivations behind customer behaviors. These tools will allow you to derive new insights, aiding in the decision making process.<br /> <br /> In this Data Science Central webinar, you’ll see firsthand how IBM SPSS Statistics will enable you to:<br /> <br /> Quickly understand large and complex datasets using advanced statistical procedures ensuring high accuracy to drive quality decision-making<br /> Reveal deeper customer insights and provide better confidence intervals via visualizations and new analytical techniques<br /> Build a predictive enterprise making the business more agile and maximizing return on investment<br /> Speakers:<br /> <br /> Taylor Perez, Client Technical Specialist - IBM Software -- IBM Analytics<br /> Murali Prakash, Product Manager - IBM Global Markets -- IBM Analytics<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central The Past Present and Future of Data Science A Live Roundtable tag:www.datasciencecentral.com,2016-01-12:6448529:Video:372851 2016-01-12T21:01:11.792Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/the-past-present-and-future-of-data-science-a-live-roundtable"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/24rKmCGAvANuH5ofvyh3pz5rLGknlRyC2w0nFP0lADQzHqOOeQVGZAzg*a9hcNVOos3f4*AHYTCT28BI-eK8sEO2KEy5lG5x/1170142147.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>This latest Data Science Central Webinar was recorded from a live roundtable discussion with the introduced members of the Pivotal Data Science team. This is a truly unique event that is intended to provide the DSC Community members a full hour to interact with and learn from their years of real-world experience. You, the audience, are again… <a href="https://www.datasciencecentral.com/video/the-past-present-and-future-of-data-science-a-live-roundtable"><br /> <img src="https://api.ning.com/files/24rKmCGAvANuH5ofvyh3pz5rLGknlRyC2w0nFP0lADQzHqOOeQVGZAzg*a9hcNVOos3f4*AHYTCT28BI-eK8sEO2KEy5lG5x/1170142147.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />This latest Data Science Central Webinar was recorded from a live roundtable discussion with the introduced members of the Pivotal Data Science team. This is a truly unique event that is intended to provide the DSC Community members a full hour to interact with and learn from their years of real-world experience. You, the audience, are again encourage to participate and take advantage of the unique access and knowledge base provided here today.<br /> Topics discussed will include (but not be limited to):<br /> <br /> -How did you become a data scientist?<br /> -What steps did you take?<br /> -What are the most important qualities of a data scientist?<br /> -How would you describe a typical work day?<br /> -What is the largest data set you have worked on?<br /> -Which tools/platforms do you use (R, Python, Hadoop etc.)?<br /> -How do you think the field of data science will evolve in the years to come?<br /> -What tools and techniques are you looking forward to using in the future?<br /> -In what ways do you think data science will continue to transform industries? Data Scientist Workbench Accelerates Predictive Analytics tag:www.datasciencecentral.com,2015-12-11:6448529:Video:361597 2015-12-11T19:09:21.455Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/data-scientist-workbench-accelerates-predictive-analytics"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/IDNSaKSVW-LsV03*CkXWwHEDfnCEZPYW-*wijmzNNsuhZ5YiT30iBWqj0p7AHh11LbGPR1lxR5A2e*OuQDSmm7FqDAOGJm02/1162280299.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>New technologies, Big Data and increasingly complex and multi-dimensional data relationships create a challenging environment for modern data scientists. In today’s DSC Webinar we will discuss a modern Predictive Analytics platform to help manage and accelerate all phases of your predicative analytic process lifecycle, from source to result.… <a href="https://www.datasciencecentral.com/video/data-scientist-workbench-accelerates-predictive-analytics"><br /> <img src="https://api.ning.com/files/IDNSaKSVW-LsV03*CkXWwHEDfnCEZPYW-*wijmzNNsuhZ5YiT30iBWqj0p7AHh11LbGPR1lxR5A2e*OuQDSmm7FqDAOGJm02/1162280299.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />New technologies, Big Data and increasingly complex and multi-dimensional data relationships create a challenging environment for modern data scientists. In today’s DSC Webinar we will discuss a modern Predictive Analytics platform to help manage and accelerate all phases of your predicative analytic process lifecycle, from source to result.<br /> <br /> In this latest DSC webinar you will learn how this agile digital workbench allows you to:<br /> <br /> Streamline tedious and repetitive tasks<br /> Access and prepare data for predictive analytics<br /> Rapidly prototype and validate your models<br /> Leverage your existing R and Python<br /> Extract maximum value from Hadoop<br /> Share results with the rest of the business<br /> Quickly embed analytic results into business processes<br /> <br /> Speakers: Dr. Martin Schmitz -- RapidMiner GmbH<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central Jump over the Data Preparation Hurdle with Spark tag:www.datasciencecentral.com,2015-12-01:6448529:Video:356030 2015-12-01T22:41:15.301Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/jump-over-the-data-preparation-hurdle-with-spark"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/88iYmLuVXsrFAqIr6psaQAcUW8tO-ErDIuCiiv9ixPociKdev9sCORzJ*NKA3sboPqcSDIDwcdOj2ifKzMBKBgGsLrhHVbEm/1159784387.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>Data scientists don’t scale. In using them to do manual data preparation, you’re missing a huge opportunity to extract the most value from your intellectual assets.<br></br> <br></br> The good news? By automating and accelerating much of this raw data crunching and ETL work, you enable non-data scientists to do data preparation rapidly and simply—and ask their… <a href="https://www.datasciencecentral.com/video/jump-over-the-data-preparation-hurdle-with-spark"><br /> <img src="https://api.ning.com/files/88iYmLuVXsrFAqIr6psaQAcUW8tO-ErDIuCiiv9ixPociKdev9sCORzJ*NKA3sboPqcSDIDwcdOj2ifKzMBKBgGsLrhHVbEm/1159784387.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Data scientists don’t scale. In using them to do manual data preparation, you’re missing a huge opportunity to extract the most value from your intellectual assets.<br /> <br /> The good news? By automating and accelerating much of this raw data crunching and ETL work, you enable non-data scientists to do data preparation rapidly and simply—and ask their own questions and find their own answers. What’s more, in this new Big Data Discovery environment, answers come in minutes, not months. Data scientists are able to focus on Spark-driven advanced analytics that yield game-changing answers.<br /> <br /> In this next DSC webinar, you will learn:<br /> <br /> How to automate your data integration process to set up your organization to be truly data-driven<br /> How to manage your data as a self-service feature at the speed of thought<br /> How to effectively unearth big insights that effectively impact the bottom line in the most efficient cycles.<br /> Speaker: Josh Och -- Platfora<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central How Data Science is Preventing College Dropouts and Advancing Student Success tag:www.datasciencecentral.com,2015-11-18:6448529:Video:352169 2015-11-18T02:04:02.136Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/how-data-science-is-preventing-college-dropouts"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/fdaqksIKodE2ez-qowYq4Br-HXB6BY-KAxhhqcSACy1oN8kFLUY*x-tL3SOCxYnTNH8CRLwaJlT*PAvGoD3rN2GpzwXM-tes/1156293013.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>Educational institutions have a wealth of data around student demographics, admissions, academic performance and more. In addition to these structured data sources, they also have unstructured data from sources such as student activity on academic discussion forums, campus network access and ID card usage. All of these data sources can be brought together… <a href="https://www.datasciencecentral.com/video/how-data-science-is-preventing-college-dropouts"><br /> <img src="https://api.ning.com/files/fdaqksIKodE2ez-qowYq4Br-HXB6BY-KAxhhqcSACy1oN8kFLUY*x-tL3SOCxYnTNH8CRLwaJlT*PAvGoD3rN2GpzwXM-tes/1156293013.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Educational institutions have a wealth of data around student demographics, admissions, academic performance and more. In addition to these structured data sources, they also have unstructured data from sources such as student activity on academic discussion forums, campus network access and ID card usage. All of these data sources can be brought together in an institutional data lake to predict and influence student behavior – including attendance patterns, academic performance and time to graduate.<br /> <br /> In this next DSC webinar, two Pivotal data scientists will discuss a recent collaborative project with a top university, in which many data sources were used to build a 360-degree profile of student activity on campus and help predict student success. The session will also provide an overview of the data science pipelines that were developed for training and scoring multiple models in parallel, in-database. These pipelines are now being used to predict student metrics (such as GPA, course grade and time to graduate), and even as intervention tools to help prevent students from dropping out.<br /> <br /> Speakers:<br /> Regunathan Radhakrishnan, Principal Data Scientist -- Pivotal<br /> Srivatsan Ramanujam, Principal Data Scientist -- Pivotal<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central