All Videos Tagged Preparation” (Data Science Central) - Data Science Central 2019-11-12T12:02:47Z https://www.datasciencecentral.com/video/video/listTagged?tag=Preparation%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: Some Great Ways to Visualize Survey Data (and Virtually any Type of Data) tag:www.datasciencecentral.com,2019-09-28:6448529:Video:892105 2019-09-28T00:27:34.849Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-some-great-ways-to-visualize-survey-data-and"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3632220939?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Steve Wexler’s datarevelations.com website is one of the premier resources for visualizing survey data with Tableau. As Steve points out on the site, the number one impediment to success with Tableau is getting your data “just so.”<br></br> <br></br> In this latest Data Science Central webinar, Steve will first preview Tableau Prep, Tableau’s… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-some-great-ways-to-visualize-survey-data-and"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3632220939?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Steve Wexler’s datarevelations.com website is one of the premier resources for visualizing survey data with Tableau. As Steve points out on the site, the number one impediment to success with Tableau is getting your data “just so.”<br /> <br /> In this latest Data Science Central webinar, Steve will first preview Tableau Prep, Tableau’s data preparation tool and show you how to wrangle cumbersome survey data. Next, Steve will show two different, but insanely useful, techniques for visualizing check-all-that-apply questions and benchmarking questions.<br /> <br /> This should be a great combination of visualization best practices mixed with “get-your-hands-dirty” in Tableau.<br /> <br /> Speaker:<br /> Steve Wexler, Founder - Data Revelations<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Why Data Prep is Step 1 for Analytics Success tag:www.datasciencecentral.com,2019-08-06:6448529:Video:865775 2019-08-06T22:25:08.414Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-data-prep-is-step-1-for-analytics-success"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3411057447?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Sad but true when it comes to data prep - data practitioners spend up to 80% of their time scrubbing and preparing their data before performing any meaningful analytics. Meanwhile, organizations are increasingly moving data and analytics from the on-premise environment to the cloud as part of their digital transformation initiatives. The… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-data-prep-is-step-1-for-analytics-success"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3411057447?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Sad but true when it comes to data prep - data practitioners spend up to 80% of their time scrubbing and preparing their data before performing any meaningful analytics. Meanwhile, organizations are increasingly moving data and analytics from the on-premise environment to the cloud as part of their digital transformation initiatives. The rapid migration to the cloud further extends this data preparation nightmare given the varying shapes and sizes of the data stored in the cloud.<br /> <br /> Join David Menninger, SVP &amp; Research Director at Ventana Research, and Jie Wu, Product Marketing Director at Trifacta for a live discussion on how to select a cloud data preparation solution to accelerate your analytics journey in the cloud. In this latest Data Science Central webinar, you will learn:<br /> <br /> Challenges with data prep in the cloud<br /> Why ETL tools alone are not sufficient to deliver well-prepared data in the cloud<br /> Key considerations when selecting a data prep tool for cloud data lakes and cloud data warehouses<br /> Speakers:<br /> Jie Wu, Product Marketing Director - Trifacta<br /> David Menninger, SVP &amp; Research Director - Ventana Research<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: The State of Data Preparation in 2019 tag:www.datasciencecentral.com,2019-06-25:6448529:Video:846235 2019-06-25T21:30:56.229Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved tremendously since the category first emerged in 2015. So what’s new? How far have we come? Where are we headed in the future?<br /> <br /> Join this latest Data Science Central webinar with Dresner Advisory Service’s Chief Research Officer, Howard Dresner, for an overview of the data preparation market. In the session, Howard reviews findings from his 2019 “Wisdom of the Crowds Market Study” on data preparation, compiled from end user responses.<br /> <br /> This webinar will cover the following topics:<br /> <br /> How data preparation is being utilized within organizations – what users &amp; departments utilize data prep?<br /> What are the most critical features of data preparation technologies?<br /> Differences between traditional ETL technologies and this new generation of data preparation tools.<br /> <br /> Speakers:<br /> Howard Dresner, Chief Research Officer Analyst - Dresner Advisory Services<br /> Will Davis, Senior Director of Product Marketing - Trifacta<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Scale AI/ML with Data Wrangling Featuring Forrester tag:www.datasciencecentral.com,2019-06-05:6448529:Video:834537 2019-06-05T22:24:26.704Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-scale-ai-ml-with-data-wrangling-featuring"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2783842558?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>The Machine Learning Race is upon us. Every organization is seeking to outpace their competition by leveraging AI/ML to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-scale-ai-ml-with-data-wrangling-featuring"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2783842558?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />The Machine Learning Race is upon us. Every organization is seeking to outpace their competition by leveraging AI/ML to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available algorithms and ML toolkits. Yet, organizations ramping up these initiatives soon find that their ML processes are only useful if the data that is feeding them is clean and structured for the task at hand. They quickly learn that scaling machine learning is entirely dependent upon scaling data wrangling processes.<br /> <br /> Join Forrester VP &amp; Principal Analyst, Mike Gualtieri and Trifacta Head of Platform Product Management Mahesh Gandhe for a live webinar covering organizational best practices for scaling data preparation in order to scale ML and AI initiatives.<br /> <br /> In this latest Data Science Central webinar you can expect to learn:<br /> <br /> Common data prep bottlenecks in machine learning such as data quality, feature engineering &amp; data blending<br /> How data preparation platforms improve scale, collaboration and automation of wrangling data for AI<br /> Organizational best practices and deployment scenarios for data preparation &amp; machine learning in cloud, on-premises and hybrid/multi-cloud environments<br /> <br /> Featured Speakers:<br /> Mike Gualtieri, VP &amp; Principal Analyst - Forrester<br /> Mahesh Gandhe, Head of Platform Product Management - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Predictive Modeling’s Counterpart, Data Preparation tag:www.datasciencecentral.com,2019-05-09:6448529:Video:823983 2019-05-09T22:22:03.710Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-predictive-modeling-s-counterpart-data"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2387948697?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>When plunging into predictive analytics, we often forget to talk about the data preparation necessary for it. In this latest Data Science Central webinar, we will use a movie database as a fun example, and we’ll work towards creating a model to predict a movie’s overall rating—to see if certain actors, the genre, or even movie length has an… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-predictive-modeling-s-counterpart-data"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2387948697?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />When plunging into predictive analytics, we often forget to talk about the data preparation necessary for it. In this latest Data Science Central webinar, we will use a movie database as a fun example, and we’ll work towards creating a model to predict a movie’s overall rating—to see if certain actors, the genre, or even movie length has an impact on its rating.<br /> <br /> We will also discuss what to keep in mind in terms of data preparation as we work towards developing a training dataset; making sure that the data preparation is repeatable, that all team members understand the process (to ensure buy-in), and that additional information can be created from the data available. You’ll learn how Rapid Insight’s Veera platform makes all of this easy, saving time and resources.<br /> <br /> Key highlights include:<br /> <br /> Democratizing the data, or creating a process that most people would be able to follow, regardless of professional background or industry<br /> Ensuring buy-in because it helps you communicate to everyone in the organization about the model and data preparation<br /> Creating a repeatable and schedulable workflow for data preparation<br /> Predicting movie ratings and looking at what type of reviews a movie pitch might get<br /> <br /> Speakers:<br /> Jon MacMillan, Senior Data Analyst - Rapid Insight<br /> Alex Herbert, Sales Manager - Rapid Insight<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central