Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: For more information regarding administrative policies such as complaints or refunds, please contact us at or (857) 256-1765. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Maven Analytics LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. Identify and interpret key Tableau Desktop visualization tools, including show me, the marks card, and dashboards Identify calculated field syntax, aggregation, table calculations and level of detail expressions, and the use of parameters Identify examples of filter order of operations and various filtering types, including extract, data source, context, and dimension/measure filters ![]() Identify common data interface tools, including relationships, joins & unions, extracts & live connections, meta data, and data source connection types Identify common Tableau Desktop tools and use cases for transforming fields, including group, split, rename, pivot, and merge Identify basic Tableau Desktop functionality, including data source connections, locality, live & extract connections, and saved file types (.twb. Experience with analytics tools or BI platforms a plus, but not required.Tableau Public (free) or Tableau Desktop (we'll walk through the install).Anyone seeking to learn one of the world's most popular self-service BI tools.Aspiring data professionals looking to add Tableau skills to the resume.Analytics or BI professionals who want to bring raw data to LIFE.Up to 5X increase in query performance keeps you in the flow. With up to 3X faster extract creation, you always have the latest data. If you're looking for a hands-on, practical guide to getting up and running with Tableau Desktop, this is the course for you.ġ0.5 hours on-demand video (17.5 CPE credits)Ģ skills assessments (1 benchmark, 1 final) Hyper Hyper is Tableau’s new in-memory data engine technology, designed for fast data ingest and analytical query processing on large or complex data sets. From there we'll explore sorting, filtering and grouping tools, build and format visuals, define custom calculations and parameters, and finally tie it all together with dynamic, interactive dashboards and stories. We'll start with a quick intro to the Tableau platform and community, then connect and transform our first dataset. Your mission? Use Tableau Desktop to design and deliver an executive-level BI dashboard, from scratch! You'll be playing the role of a newly hired analyst for Maven Supplies, a cutting-edge office supply store looking to bring the sizzle back to copy paper and sticky notes. This course is a hands-on, project-based introduction to Tableau, designed to teach you how to connect, analyze and visualize raw data with real-world, practical case studies. For details see below.Tableau Desktop is one of the most popular data visualization platforms in the world, and a critical skill for analytics & BI professionals. hyper format files in 2018 and several common actions on the files automatically and permanently convert them to the supported. ![]() tde files because these were replaced by.
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