Tableau Desktop II: Intermediate

This course is designed to expand your skills and distinguish yourself as a Tableau power user. It’s structured for those who have a working experience with Tableau and want to take it to the next level. You should understand how to build basic worksheets and dashboards, but may scratch your head when working with more complex issues.
Course Details

Price:

Days:

2

Location:

Virtual

Course Overview

This course is designed to expand your skills and distinguish yourself as a Tableau power user. It’s structured for those who have a working experience with Tableau and want to take it to the next level. You should understand how to build basic worksheets and dashboards, but may scratch your head when working with more complex issues.

Build advanced chart types and visualizations. Build complex calculations to manipulate your data. Use statistical techniques to analyze your data. Use parameters and input controls to give users control over certain values. Implement advanced geographic mapping techniques and use custom images and geocoding to build spatial visualizations of non-geographic data. Prep your data for analysis. Combine data sources using data blending. Combine data from multiple tables in the same data source using joins. Make your visualizations perform as well as possible using the Data Engine, extracts, and efficient connection methods. Build better dashboards using techniques for guided analytics, interactive dashboard design, and visual best practices. Implement efficiency tips and tricks.

Tableau Desktop I: Fundamentals or equivalent experience.

1 – Introduction to Red Hat Decision Manager

  • Describe foundational concepts of business automation and Red Hat Decision Manager

2 – Authoring Basic Rules in Business Central

  • Create and test basic rules using Business Central

3 – Authoring Rules with DRL

  • Create DRL rules using advanced conditions and field constraints in Decision Central

4 – Integrating Decision Manager Applications

  • Integrate Decision Manager applications with other applications using the Rest API and the Java API Client code

5 – Implementing Best Practices for DRL

  • Identify advanced conflict resolution and implementing best practices for DRL rules

6 – Implementing Decisions with DMN

  • Describe and use DMN to implement decisions in Red Hat Decision Manager

7 – Defining Rules for Complex Event Processing

  • Describe and use complex event processing (CEP) with rules
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