Intro to Tableau Desktop

Tableau Desktop is one of the most popular data visualization platforms in the world, and a critical skill for analytics & BI professionals.

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.

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. Your mission? Use Tableau Desktop to design and deliver an executive-level BI dashboard, from scratch!

We'll start with a quick intro to the Tableau platform and community, then connect and transform our first dataset. 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.

If you're looking for a hands-on, practical guide to getting up and running with Tableau Desktop, this is the course for you.

COURSE CONTENTS:

• 10.5 hours on-demand video (17.5 CPE credits)

• 6 quizzes

• 5 homework assignments

• 2 skills assessments (1 benchmark, 1 final)

COURSE CURRICULUM:

WHO SHOULD TAKE THIS COURSE?

• Analytics or BI professionals who want to bring raw data to LIFE
• Aspiring data professionals looking to add Tableau skills to the resume
• Anyone seeking to learn one of the world's most popular self-service BI tools

WHAT ARE THE COURSE REQUIREMENTS?

• Tableau Public (free) or Tableau Desktop (we'll walk through the install)
• Experience with analytics tools or BI platforms a plus, but not required

WHAT ARE THE COURSE OBJECTIVES?

• Identify basic Tableau Desktop functionality, including data source connections, locality, live & extract connections, and saved file types (.twb, .twbx, etc)

• Identify common Tableau Desktop tools and use cases for transforming fields, including group, split, rename, pivot, and merge

• Identify common data interface tools , including relationships, joins & unions, extracts & live connections, meta data, and data source connection types

• Identify examples of filter order of operations and various filtering types, including extract, data source, context, and dimension/measure filters

• Identify calculated field syntax, aggregation, table calculations and level of detail expressions, and the use of parameters

• Identify and interpret key Tableau Desktop visualization tools, including show me, the marks card, and dashboards

CPE ACCREDITATION DETAILS:

• CPE Credits: 17.5

• Field of Study: Information Technology

• Delivery Method: QAS Self Study

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. State boards of accountancy have the final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.

For more information regarding administrative policies such as complaints or refunds, please contact us at admin@mavenanalytics.io or (857) 256-1765.

*Last Updated: December 1, 2021