All Videos Tagged Data Scientist (Data Science Central) - Data Science Central 2019-05-20T05:47:48Z https://www.datasciencecentral.com/video/video/listTagged?tag=Data+Scientist&rss=yes&xn_auth=no Level Up Your Data Science Team tag:www.datasciencecentral.com,2017-06-20:6448529:Video:579232 2017-06-20T22:00:12.096Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/level-up-your-data-science-team"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/yu7QMiCGvgEC3dm6AzgUPLtNQR47JuxP4iJMG3-Oa8PgsCqPA3VmZW*N6z58ufpaBgbAJna3nsz4mrI679pBsMrRx1SUvRat/1297296368.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Tired of the lone wolf data scientist myth? Figured out that data science pulls people and expertise from multiple domains? Want to learn more about how to pull data science teams together to solve tough data challenges and explore the possibilities of machine learning? Join this Data Science Central webinar, “Manage Data Science in the Enterprise: Level Up Your Data… <a href="https://www.datasciencecentral.com/video/level-up-your-data-science-team"><br /> <img src="https://api.ning.com/files/yu7QMiCGvgEC3dm6AzgUPLtNQR47JuxP4iJMG3-Oa8PgsCqPA3VmZW*N6z58ufpaBgbAJna3nsz4mrI679pBsMrRx1SUvRat/1297296368.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Tired of the lone wolf data scientist myth? Figured out that data science pulls people and expertise from multiple domains? Want to learn more about how to pull data science teams together to solve tough data challenges and explore the possibilities of machine learning? Join this Data Science Central webinar, “Manage Data Science in the Enterprise: Level Up Your Data Science Team" and learn data science best practices, tools, and techniques to increase collaboration and productivity.<br /> <br /> Speakers:<br /> <br /> Carlo Appugliese, Big Data and Data Science Evangelist -- IBM Analytics, Watson and Cloud Platform<br /> Alex Jones, IBM Offering Manager, Data Science Experience Local -- IBM Analytics, Watson Data Platform<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: Learn How To Work with Large Datasets to Build Predictive Models with Microsoft’s Analytics Toolkit tag:www.datasciencecentral.com,2015-04-01:6448529:Video:263478 2015-04-01T15:17:41.685Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-learn-how-to-work-with-large-datasets"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/zQ2pP5BJqrXp4dlYV3ZjGrJWh8T6PD-hzVnGRcoKfWC33KZSuE8ciUrglblnu0TX*YL-zZPetTrCxlAkSLrZeg2SPpoFsXkF/1118568091.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>In today’s webinar we will use a case study of NY taxi data to discuss and cover how:<br></br> • Azure provides the infrastructure for storing and manipulating large data sets<br></br> • Azure ML provides an algorithm (Learning with Counts) to train a predictive model with large data sets<br></br> • To created a model to predict tips on NY Taxi rides using… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-learn-how-to-work-with-large-datasets"><br /> <img src="https://api.ning.com/files/zQ2pP5BJqrXp4dlYV3ZjGrJWh8T6PD-hzVnGRcoKfWC33KZSuE8ciUrglblnu0TX*YL-zZPetTrCxlAkSLrZeg2SPpoFsXkF/1118568091.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />In today’s webinar we will use a case study of NY taxi data to discuss and cover how:<br /> • Azure provides the infrastructure for storing and manipulating large data sets<br /> • Azure ML provides an algorithm (Learning with Counts) to train a predictive model with large data sets<br /> • To created a model to predict tips on NY Taxi rides using Azure storage, HDInsight and Azure ML DSC Webinar Series: Data Lakes, Reservoirs, and Swamps: A Data Science and Engineering Perspective tag:www.datasciencecentral.com,2015-03-24:6448529:Video:261514 2015-03-24T23:20:00.894Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-lakes-reservoirs-and-swamps"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/HQSy6kXC6MpnC9cgdo*FYaZdsP0FUX03MVmDQAiZqCgNIZzbC0ZQx990MZR2hUdAtTKeuelBYJL90MVZGaflEJIFmvkSQi-3/1117550138.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>In the fast paced and ever changing landscape of Hadoop based data lakes, there tends to be varying definitions of what constitutes a data lake and how they should be used for business benefit—especially in leveraging data science. In today’s webinar, Think Big will share their perspective on Hadoop data lakes from their many consulting engagements.… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-lakes-reservoirs-and-swamps"><br /> <img src="https://api.ning.com/files/HQSy6kXC6MpnC9cgdo*FYaZdsP0FUX03MVmDQAiZqCgNIZzbC0ZQx990MZR2hUdAtTKeuelBYJL90MVZGaflEJIFmvkSQi-3/1117550138.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />In the fast paced and ever changing landscape of Hadoop based data lakes, there tends to be varying definitions of what constitutes a data lake and how they should be used for business benefit—especially in leveraging data science. In today’s webinar, Think Big will share their perspective on Hadoop data lakes from their many consulting engagements.<br /> <br /> Drawing from their experience across multiple industries, Dan and Rick will share stories of data lake challenges and successes. You will also learn how data scientists are leveraging Hadoop data lakes to discover, document, and enable new business insights. And finally, they will also discuss skills needed for data science success and how to grow your skills if you want to become a data scientist. DSC Webinar Series: Data Transformation and Acquisition Techniques, to Handle Petabytes of Data tag:www.datasciencecentral.com,2014-11-11:6448529:Video:222794 2014-11-11T22:11:00.569Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-transformation-and-acquisition-techniques"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/HcjlpmwAvftDKR1bA8zg0nIRgfsYYiG1Il0ihwB6E6RyqyG1vzXRYHHFaU1zgeHoo1-pNGlaiH1046c6y40ju4CPFZxt9m2p/1093053598.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>Many organizations have become aware of the importance of big data technologies, such as Apache Hadoop but are struggling to determine the right architecture to integrate it with their existing analytics and data processing infrastructure. As companies are implementing Hadoop, they need to learn new skills and languages, which can impact… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-transformation-and-acquisition-techniques"><br /> <img src="https://api.ning.com/files/HcjlpmwAvftDKR1bA8zg0nIRgfsYYiG1Il0ihwB6E6RyqyG1vzXRYHHFaU1zgeHoo1-pNGlaiH1046c6y40ju4CPFZxt9m2p/1093053598.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Many organizations have become aware of the importance of big data technologies, such as Apache Hadoop but are struggling to determine the right architecture to integrate it with their existing analytics and data processing infrastructure. As companies are implementing Hadoop, they need to learn new skills and languages, which can impact developer productivity. Often times they resort to hand-coded solutions which can be brittle, impact the productivity of the developer and the efficiency of the Hadoop cluster.<br /> <br /> To truly tap into the business benefits of the big data solutions, it’s necessary to ensure that the business and IT have simple tools-based methods to get data in, change and transform it, and keep it continuously updated with their data warehouse.<br /> <br /> In this webinar you’ll learn how the Oracle and Hortonworks solution can:<br /> <br /> Accelerate developer productivity<br /> Optimize data transformation workloads for on Hadoop<br /> Lower cost of data storage and processing<br /> Minimize risks in deployment of big data projects<br /> Provide proven industrial scale tooling for data integration projects<br /> We will also discuss how technologies from both Oracle and Hortonworks can deploy the big data reservoir or data lake, an efficient cost-effective way to handle petabyte-scale data staging, transformations, and aged data requirements while reclaiming compute power and storage from your existing data warehouse.<br /> <br /> Speakers:<br /> Jeff Pollock, Vice President, Oracle<br /> Tim Hall, Vice President, Hortonworks<br /> <br /> Hosted by:<br /> Tim Matteson, Co-Founder, Data Science Central DSC Webinar Series: Improving the Data Modeling Workflow tag:www.datasciencecentral.com,2014-10-28:6448529:Video:218264 2014-10-28T20:00:27.647Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-improving-the-data-modeling-workflow"><br /> <img alt="Thumbnail" height="180" src="https://api.ning.com/files/Ga2iaGVWnSHTmlpnek6XpaJwvPzhCMyFzbGzhtDUw-AJrMQbCyaVzQAo9ZpR5qLubrft-iFne3jAH9fl3rZvL4uM78B3mW3C/1088568620.jpeg?width=240&amp;height=180" width="240"></img><br /> </a> <br></br>The core competency of effective data scientists is producing direct value for businesses via quantitative models. New analytical tools allow data modelers to drastically improve the modeling workflow: speeding up data cleaning, identifying and exploring predictive factors, and rapidly evaluating and analyzing results.<br></br> <br></br> In this latest… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-improving-the-data-modeling-workflow"><br /> <img src="https://api.ning.com/files/Ga2iaGVWnSHTmlpnek6XpaJwvPzhCMyFzbGzhtDUw-AJrMQbCyaVzQAo9ZpR5qLubrft-iFne3jAH9fl3rZvL4uM78B3mW3C/1088568620.jpeg?width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />The core competency of effective data scientists is producing direct value for businesses via quantitative models. New analytical tools allow data modelers to drastically improve the modeling workflow: speeding up data cleaning, identifying and exploring predictive factors, and rapidly evaluating and analyzing results.<br /> <br /> In this latest DSC educational webinar event, Justin Palmer of LendingHome and Colin Zima of Looker will look at ways to speed up the dirty work around building data models. They will dig into the key steps in the process and offer ideas and examples of improvements.