Data Science for Spreadsheet Users

In this webinar, DataCamp Account Executive Chris Cardillo will challenge anyone spending their days in and out of spreadsheets to pick up a coding language. He’ll cover the tangible benefits of incorporating coding into an everyday workflow, as well as examples of where coding enhances or replaces work done in spreadsheets. Finally, he’ll cover some R language equivalents for spreadsheet techniques, and where to get started when you’re ready to take the first step.
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Spotlight

OTHER ON-DEMAND WEBINARS

Cloud Data Warehouse Modernization

tdwi.org

The economic model and elegance of cloud environments are motivating companies to assess their existing on-premises data warehouses and modernize their enterprise information environments. However, confusion about what is meant by “modernization” has led some to believe that “lifting and shifting” their on-premises implementation to a cloud environment is the default approach. In these cases, the results are mixed—while the system has technically been moved to a modern cloud platform, by no means is it modernized.
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Why Data Vault 2.0 is the best data model for automation

Many data teams worry that automation won’t work on their specific data and technology stack. They’ve learned the hard way that automation doesn’t always stand up to the complexity of different source data models, taxonomies and tech stack components. Join this webinar to understand how Data Vault 2.0 is designed to focus on models and logic, not complex code, so that it’s rapidly becoming the DWH standard. We’ll explain how Data Vault has taken the best of the more traditional modeling approaches, such as Inmon or Kimball, to provide the level of abstraction, quality and agility that automation requires.
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Global Data Management in the Cloud

tdwi.org

Organizations that operate worldwide typically need to manage data both locally and globally. Local business units and subsidiaries must address region-specific data and accounting standards, regulations, customer requirements, and market drivers. At the same time, corporate headquarters must share data broadly and maintain a complete view of performance for the entire enterprise. For many global firms, data is the business. They need state-of-the-art data management just to remain innovative and competitive. Hence, multinational businesses face a long list of new business and technical requirements for modern data management.
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Optimizing Your Data Analytics Resourcing

Join us for a focused discussion on Data Analytics with health system data analytics leaders. We discuss the decisions, benefits and challenges organizations face when determining how to structure and manage data assets, tools and teams. We’re excited to share diverse perspectives and answer audience questions.
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