Featured Videos - Data Science Central 2017-11-21T22:24:59Z https://www.datasciencecentral.com/video/video/rss?xn_auth=no&featured=1 Powerful, Flexible and Accessible Code-free Data Science tag:www.datasciencecentral.com,2017-11-15:6448529:Video:650008 2017-11-15T20:28:47.124Z Andrei Macsin https://www.datasciencecentral.com/profile/AndreiMacsin <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-powerful-flexible-and-accessible-code-free"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/6N5aPNhmR4qW2RKx7J4Llor1hwMv59TGXNjSmESCkooxKU3uaMDztS*-Xb16yqtqBz0nMNIQZyL5bYKsm9PnvlMjbRYGHrtF/1633522871.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>As the demand for data science expertise grows, so does the need for tools that deliver flexibility, speed, and ease of use. Organizations need solutions that can access several data types such as Big Data; offer a vast library of algorithms, including the most popular open source methods; and are accessible to expert coders and non-coders… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-powerful-flexible-and-accessible-code-free"><br /> <img src="https://api.ning.com/files/6N5aPNhmR4qW2RKx7J4Llor1hwMv59TGXNjSmESCkooxKU3uaMDztS*-Xb16yqtqBz0nMNIQZyL5bYKsm9PnvlMjbRYGHrtF/1633522871.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />As the demand for data science expertise grows, so does the need for tools that deliver flexibility, speed, and ease of use. Organizations need solutions that can access several data types such as Big Data; offer a vast library of algorithms, including the most popular open source methods; and are accessible to expert coders and non-coders alike.<br /> <br /> Join us for this latest Data Science Central Webinar to learn more about the newest IBM SPSS Modeler capabilities, such as:<br /> <br /> Python algorithms for non-coders to provide greater analytical power and flexibility<br /> Seamless integration with IBM Decision Optimization to help you determine the best scenarios for your business and budget<br /> Easier access to data from The Weather Company, enabling you to create weather-driven insights<br /> Learn how IBM SPSS Modeler can help data scientists and analysts to extract important insights from data in a powerful, flexible and easy way.<br /> <br /> Speakers:<br /> <br /> Ted Fischer, Senior Offering Manager-- IBM SPSS Predictive Analytics<br /> Erica Reuter, Client Technical Professional -- IBM Analytics, Data Science Specialist, SPSS,DSX,CA,WA<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central Building a Compelling Argument with Data tag:www.datasciencecentral.com,2017-11-15:6448529:Video:649389 2017-11-15T04:04:22.303Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/building-a-compelling-argument-with-data"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/AHC3ivwU65NXi0hoNuljCGCOVhUzxf4PF85*GY0bif3hy4d4AhpIgi7ojspw1NuoFqXaTH6UTto8Smod5yeOjeBFhJy5kgMp/1632515679.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Telling stories with data sounds like a great idea, but often you simply want to make a clear and compelling argument. How do you do that? In this Data Science Central webinar, Robert Kosara will walk you through a particular structure for stories that works well in news graphics and describe how and why it applies to data. He will also talk about the differences… <a href="https://www.datasciencecentral.com/video/building-a-compelling-argument-with-data"><br /> <img src="https://api.ning.com/files/AHC3ivwU65NXi0hoNuljCGCOVhUzxf4PF85*GY0bif3hy4d4AhpIgi7ojspw1NuoFqXaTH6UTto8Smod5yeOjeBFhJy5kgMp/1632515679.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Telling stories with data sounds like a great idea, but often you simply want to make a clear and compelling argument. How do you do that? In this Data Science Central webinar, Robert Kosara will walk you through a particular structure for stories that works well in news graphics and describe how and why it applies to data. He will also talk about the differences between classical story and story with data based on his research and experiences.<br /> <br /> Speaker: Robert Kosara, Research Scientist -- Tableau<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central Predictive Forecasting with Time Series Analysis tag:www.datasciencecentral.com,2017-11-10:6448529:Video:647832 2017-11-10T03:50:28.903Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/predictive-forecasting-with-time-series-analysis"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/ewF5Urmzyx69Ap*Dv6atQL4c5UBNCgRVgGSH*xsfc33oHg4GR0qHnKLiuYjgfJjD-akHUJyPl*Wk93G83vXXixi3mooBmst*/1624736302.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organization’s success. But what happens when a forecast is inaccurate? What is the impact on a business, its customers or its partners? For businesses, the ability to catch even a tiny glimpse of… <a href="https://www.datasciencecentral.com/video/predictive-forecasting-with-time-series-analysis"><br /> <img src="https://api.ning.com/files/ewF5Urmzyx69Ap*Dv6atQL4c5UBNCgRVgGSH*xsfc33oHg4GR0qHnKLiuYjgfJjD-akHUJyPl*Wk93G83vXXixi3mooBmst*/1624736302.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The ability to accurately predict what is likely to happen at a point in the future, and build plans and strategies based on that knowledge, is essential to an organization’s success. But what happens when a forecast is inaccurate? What is the impact on a business, its customers or its partners? For businesses, the ability to catch even a tiny glimpse of what the future may hold can lead to happy customers, improved efficiency and productivity, and highly successful business decisions.<br /> <br /> In this Data Science Central webinar learn how time series analysis better enables departments across your organization with actionable, more accurate insights related to the timing of equipment failure, customer offers, and the impact of effects like seasonality.<br /> <br /> Speakers:<br /> <br /> Murali Prakash, IBM Product Manager -- IBM SPSS<br /> Mikhail Lakirovich, IBM Offering Manager -- IBM SPSS<br /> Douglas Stauber, IBM Offering Manager -- IBM SPSS<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central Data Literacy – Bridging the Gap tag:www.datasciencecentral.com,2017-10-27:6448529:Video:641950 2017-10-27T02:37:57.879Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/data-literacy-bridging-the-gap"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/DOhVC7SUddaEykmsgMfEMp*6PnX6PsOL-5PaK0TprTBEMbpYGGGlLSQfnTFsqGcdjmQZFbWMZ4nGUvjGcnqcwn-U-10p*QnN/1602939978.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>With the volume and velocity of data available in the world today, most industries and companies have a desire to use that data better. Unfortunately, as data has grown at incredible speeds, there has followed a real and growing data literacy skills gap. This skills gap can lead to major issues within organizations, which is why understanding what data literacy is and how… <a href="https://www.datasciencecentral.com/video/data-literacy-bridging-the-gap"><br /> <img src="https://api.ning.com/files/DOhVC7SUddaEykmsgMfEMp*6PnX6PsOL-5PaK0TprTBEMbpYGGGlLSQfnTFsqGcdjmQZFbWMZ4nGUvjGcnqcwn-U-10p*QnN/1602939978.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />With the volume and velocity of data available in the world today, most industries and companies have a desire to use that data better. Unfortunately, as data has grown at incredible speeds, there has followed a real and growing data literacy skills gap. This skills gap can lead to major issues within organizations, which is why understanding what data literacy is and how to alleviate this gap is so important.<br /> <br /> Join us for this latest Data Science Central webinar to learn more about the growing data literacy skills gap, what exactly data literacy is, and how your organization can be better prepared in the current data revolution.<br /> <br /> Speaker: Jordan Morrow, Program Manager of Data Literacy -- Qlik<br /> <br /> Hosted by: Bill Vorhies, Editorial Director -- Data Science Central Apache Spark and Agile Model Development tag:www.datasciencecentral.com,2017-10-25:6448529:Video:641072 2017-10-25T04:38:33.912Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/apache-spark-and-agile-model-development"><br /> <img alt="Thumbnail" height="135" src="https://api.ning.com/files/w-i*fuGN0TRdN-QjCtOWlD13P*I8hXoAvLJY1sAbNKVq8hvK--L6MQKk*sk9LmWPvD-KFHVM9NZOaff6mFrCO9n-ILApR3GN/1599842290.jpeg?width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The combination of Deep Learning with Apache Spark has the potential for tremendous impact in many sectors of the industry. Apache Spark has quickly become a critical technology for data scientists to explore, understand and transform massive datasets and to build and train advanced machine learning models. Machine learning and AI has begun to unlock new… <a href="https://www.datasciencecentral.com/video/apache-spark-and-agile-model-development"><br /> <img src="https://api.ning.com/files/w-i*fuGN0TRdN-QjCtOWlD13P*I8hXoAvLJY1sAbNKVq8hvK--L6MQKk*sk9LmWPvD-KFHVM9NZOaff6mFrCO9n-ILApR3GN/1599842290.jpeg?width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The combination of Deep Learning with Apache Spark has the potential for tremendous impact in many sectors of the industry. Apache Spark has quickly become a critical technology for data scientists to explore, understand and transform massive datasets and to build and train advanced machine learning models. Machine learning and AI has begun to unlock new possibilities that are creating a competitive advantage for companies. However, companies continue to struggle to increase the productivity of data scientists. The biggest hurdle to accelerate innovation has been the time to train, validate and deploy models.<br /> <br /> Join us for this latest Data Science Central webinar and hear from Richard Garris, Principal Solutions Architect at Databricks, as he shares his various experiences across multiple industries assisting customers with best practices for building deep learning pipelines driving agile model development practices.<br /> <br /> You will learn how to:<br /> <br /> Quickly train, validate and deploy different models by leveraging Apache Spark and cloud technologies<br /> Iterate through multiple models quickly by unifying the cloud infrastructure with big data processing capabilities<br /> Integrate workflows with data engineering and data science teams simplifying augmenting data to iterate on models<br /> Increase collaboration and agility within data science teams to improve quality and decrease time-to-production<br /> Speakers:<br /> <br /> Richard Garris, Principal Solutions Architect -- Databricks<br /> Wayne Chan, Senior product marketing manager -- Databricks<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central