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  1. Programs
  3. Salesforce Certified Tableau Data Analyst

Salesforce Certified Tableau Data Analyst

Salesforce

Certification

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

The Salesforce Certified Tableau Data Analyst certification is intended for individuals who enable stakeholders to make business decisions by understanding the business problem, identifying data to explore for analysis, and delivering actionable insights.This credential validates core Tableau knowledge and development skills of employees, partners, customers, and freelancers who work with various Tableau products including Tableau Desktop, Tableau Prep, and either Tableau Server or Cloud.

Cost

$200Show moreShow less

Format

Online

Eligibility Calculator

Which aid programs apply to this program?

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Program Pathways

Credentials this program stacks toward

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Program Details

Detailed information about this program

The Salesforce Certified Tableau Data Analyst certification is intended for individuals who enable stakeholders to make business decisions by understanding the business problem, identifying data to explore for analysis, and delivering actionable insights.This credential validates core Tableau knowledge and development skills of employees, partners, customers, and freelancers who need to work with various Tableau products including Tableau Desktop, Tableau Prep, and either Tableau Server or Tableau Cloud.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

No locations specified.

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Related Programs

Programs related to this one

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Skills & Competencies

Skills developed through this program

  • Connect to and configure live and extract data sources in Tableau
  • Assess and clean data quality for analysis
  • Combine data using relationships, joins, unions, and multiple sources
  • Transform and shape data using Tableau Prep
  • Customize field properties including type, alias, and discrete/continuous conversion
  • Write calculated fields including date, string, logical, numeric, and spatial functions
Career Pathways

Occupations this program prepares you for

  • Business Intelligence Analysts15-2051.01
  • Business Operations Specialists, All Other13-1199.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Certification)

  • Custom and standard business reports — generate independently using BI and data analysis software, tailoring outputs to meet specific executive, client, or operational stakeholder needs.
  • Business intelligence dashboards and systems — maintain and update on a recurring basis, applying version control and change documentation in a mid-sized enterprise analytics environment.
  • Timely flow of intelligence information — manage by coordinating scheduled report delivery, resolving pipeline issues, and communicating status updates to business users without close oversight.
  • Technical support for reports and dashboards — provide by diagnosing data quality issues, correcting query logic, and documenting resolutions in a shared knowledge base.
  • Industry and geographic trend analysis — conduct by synthesizing data from multiple sources and translating findings into actionable business strategy implications for management review.
  • BI output specifications — document with sufficient technical detail for handoff to development teams, including data models, KPI definitions, and refresh logic.
  • Spreadsheets and query-based analytical tools — build and refine to automate recurring calculations and reduce manual processing time across departmental reporting cycles.
  • Data collection workflows — design and execute using available industry reports, public data portals, and purchased data sources to populate analytical models consistently.
  • Complex problem-solving under ambiguity — apply inductive and deductive reasoning to diagnose unexpected data patterns and propose corrective actions in familiar analytical contexts.
  • Coordination with cross-functional teams — facilitate by translating business requirements into technical specifications and aligning analyst output with stakeholder expectations during project delivery.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported