Tableau for Developers Training Course

Course Code

tableaufordev

Duration

21 hours (usually 3 days including breaks)

Requirements

  • Programming experience in any language

Audience

  • Developers

Overview

Tableau is a business intelligence and data visualization software. Tableau offers a wide array of developer tools and APIs for integration, customization, automation, and extension of Tableau features for organization-specific needs.

In this instructor-led, live training, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.

By the end of this training, participants will be able to:

  • Install and configure Tableau (Desktop, Server, Online.)
  • Understand the fundamentals of developing with Tableau.
  • Create and publish data visualizations and interactions with Tableau.
  • Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction to Tableau

  • Tableau Desktop
  • Tableau Server
  • Tableau Online

Installing and Configuring Tableau

Overview of Tableau Features and Architecture

Overview of Tableau's Developer Tools and APIs

  • JavaScript API
  • REST API
  • Tableau SDK
  • Web Data Connector
  • Document API
  • ODBC Connection

Creating Data Visualizations on Tableau Desktop

  • Tableau Software Basics
    • Visual Analytics
    • Working with Data
    • Building and Customizing Dashboards
    • Implementing Data Calculations
  • Best Practices

Interacting with Your Data on Tableau

  • Tableau Online
  • Tableau Server

Publishing Your Data Visualizations, Workbooks, and Data Sources on Tableau

  • Tableau Online
  • Tableau Server

Integrating, Customizing, Automating, and Extending Tableau

  • Dashboard Extensions
  • Data Connectivity
  • Task Automations
  • Data Science Integration
  • Embedded Analytics

Troubleshooting

Summary and Conclusion

Testimonials

★★★★★
★★★★★

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