Tableau Certified Consultant Course Overview

Prerequisites for Tableau Certified Consultant Course

To successfully undertake the Tableau Certified Consultant course, students should ideally have:

• A foundational understanding of Tableau.
• Some experience with data analysis and visualization.

Target Audience for Tableau Certified Consultant

Introduction:
The Tableau Certified Consultant course is designed for professionals in data analysis, reporting, and business intelligence aiming to master the Tableau platform and elevate their careers.

Target Audience and Job Roles:

• Data Analysts
• Business Intelligence Analysts
• Data Scientists
• Reporting Analysts
• Analytics Consultants
• BI Developers
• Tableau Developers
• Data Engineers
• Analytics Managers
• Data Visualization Specialists
• Tableau Administrators
• Solution Architects specializing in analytics
• IT Consultants focused on data solutions
• Professionals with foundational Tableau knowledge seeking certification
• Project Managers overseeing data-focused projects
• Advanced Excel Users transitioning to Tableau

Learning Objectives - What you will Learn in this Tableau Certified Consultant?

Introduction:

The Tableau Certified Consultant course aims to deepen your expertise in Tableau analytics by covering advanced data evaluation, preparation, analytical design, and governance strategies. Ideal for professionals seeking to lead analytics solutions and gain certification.

Learning Objectives and Outcomes:

• Assess Current State of Analytics:

  • Map current state of analytics to the future state.
  • Align existing reports with Tableau capabilities.
  • Translate business requirements into technical specifications.
  • Recommend suitable Tableau platforms based on needs.

• Evaluate Data Structures:

  • Conduct support checks and track data lineage.
  • Identify performance risks and enhancement opportunities.

• Plan and Prepare Data Connections:

  • Develop strategies for data storage and transformation.
  • Design and implement row-level security (RLS) data structures.
  • Ensure advanced connections to data, including aggregation and essential fields.

• Design and Troubleshoot Calculations and Workbooks:

  • Create advanced chart types and custom calculations.
  • Optimize workbooks for query performance including using caching and performance recordings.
  • Implement complex calculations with multiple steps such as advanced LODs and date functions.

• Governance and Support Published Content:

  • Map and implement a Tableau governance strategy including access security, data quality, and compliance