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Data Analyst
Tableau Certified Data Analyst certification validates expertise in data analysis, visualization design, advanced calculations, dashboard development, and data storytelling, enabling professionals to apply, analyze, and strategize insights with Tableau.
105
Minutes
60
Questions
65/100
Passing Score
$200
Exam Cost
Who Should Take This
Business analysts, data scientists, and reporting specialists with at least two years of Tableau experience who aim to deepen analytical rigor and craft compelling visual narratives should pursue this certification. It suits individuals seeking to demonstrate strategic insight, elevate dashboard performance, and advance their credentials for senior analytics roles.
What's Covered
1
Domain 1: Data Analysis
2
Domain 2: Visualization Design
3
Domain 3: Advanced Calculations
4
Domain 4: Dashboard Development
5
Domain 5: Data Storytelling
6
Domain 6: Data Preparation
7
Domain 7: Performance Optimization
8
Domain 8: Governance and Collaboration
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
64 learning goals
1
Domain 1: Data Analysis
2 topics
Exploratory Analysis
- Apply exploratory data analysis with distribution analysis, outlier detection, and correlation assessment for data understanding
- Implement analytical workflows with hypothesis formulation, data investigation, and finding documentation for structured analysis
- Analyze data patterns including trends, seasonality, and anomalies for insight generation and business recommendation
- Design an analytical methodology with research questions, data requirements, and validation approaches for rigorous data analysis
Statistical Methods
- Apply statistical concepts including descriptive statistics, probability distributions, and confidence intervals for quantitative analysis
- Implement hypothesis testing with t-tests, chi-square, and ANOVA using Tableau's statistical functions for evidence-based conclusions
- Analyze statistical significance, effect sizes, and practical importance for meaningful business insight derivation
- Design a statistical analysis strategy with appropriate method selection, assumption validation, and result interpretation for reliable insights
2
Domain 2: Visualization Design
2 topics
Chart Selection
- Apply visualization best practices with chart type selection, encoding channels, and visual hierarchy for effective data communication
- Implement advanced visualizations including bump charts, waterfall charts, and Sankey diagrams for specialized analytical narratives
- Analyze visualization effectiveness using cognitive load theory, pre-attentive attributes, and user comprehension testing for design optimization
- Design a visualization framework with chart selection guidelines, style standards, and accessibility requirements for organizational consistency
Color and Typography
- Apply color theory with sequential, diverging, and categorical palettes for meaningful and accessible data encoding
- Implement accessibility-compliant visualizations with colorblind-safe palettes, pattern differentiation, and alt text for inclusive design
- Analyze color usage effectiveness, contrast ratios, and encoding clarity for visualization accessibility improvement
- Design a visual style guide with color standards, typography rules, and layout patterns for consistent organizational analytics
3
Domain 3: Advanced Calculations
2 topics
LOD and Table Calcs
- Apply LOD expressions for cohort analysis, customer segmentation, and benchmark comparison independent of view granularity
- Implement advanced table calculations with LOOKUP, WINDOW functions, and custom partitioning for sophisticated trend analysis
- Analyze calculation performance, correctness, and maintainability to optimize complex analytical computations
- Design a calculation library with documented formulas, validated logic, and reuse patterns for organizational analytical consistency
Parameters and Sets
- Apply parameters with input controls, calculated references, and dynamic filtering for interactive analytical applications
- Implement set-based analysis with combined sets, set actions, and in-out comparison for flexible user-driven data exploration
- Analyze parameter and set interaction patterns to optimize user experience and analytical flexibility
- Design an interactive analytics framework with parameter-driven views, set-based filtering, and dynamic content for self-service analysis
4
Domain 4: Dashboard Development
2 topics
Dashboard Architecture
- Apply dashboard design principles with layout composition, information hierarchy, and progressive disclosure for effective data presentation
- Implement responsive dashboards with device-specific layouts, dynamic sizing, and performance optimization for multi-platform access
- Analyze dashboard user behavior including navigation patterns, filter usage, and time-on-page for design optimization
- Design a dashboard architecture with template standards, interaction patterns, and performance budgets for scalable analytics delivery
Interactive Features
- Apply dashboard actions with filter, highlight, parameter, and set actions for coordinated multi-view interactivity
- Implement navigation actions with button-based drill-through, menu navigation, and contextual linking for guided analytics exploration
- Analyze interactive feature adoption, user flow completeness, and interaction success rates for dashboard usability optimization
- Design an interaction strategy with consistent patterns, discoverability cues, and user guidance for intuitive analytics experiences
5
Domain 5: Data Storytelling
2 topics
Narrative Design
- Apply data storytelling techniques with narrative structure, insight sequencing, and audience adaptation for compelling analytical communication
- Implement Tableau Story points with annotated snapshots, narrative text, and guided analysis paths for structured data stories
- Analyze storytelling effectiveness including audience comprehension, retention, and action outcomes for communication improvement
- Design a data storytelling framework with narrative templates, annotation standards, and presentation guidelines for impactful analytics communication
Presentation
- Apply presentation best practices with audience analysis, key message identification, and visual simplification for executive analytics communication
- Implement presentation dashboards with simplified views, key metric highlights, and drill-down capability for executive audience engagement
- Analyze presentation impact including decision influence, question quality, and follow-up action for communication effectiveness assessment
- Design a communication strategy with audience-specific dashboards, presentation templates, and feedback mechanisms for analytics impact maximization
6
Domain 6: Data Preparation
2 topics
Tableau Prep
- Apply Tableau Prep with input, clean, and output steps for visual data preparation pipeline construction
- Implement data preparation workflows with joins, unions, pivots, and aggregation for analytical dataset creation
- Analyze data preparation quality including completeness, accuracy, and performance for pipeline reliability assessment
- Design a data preparation strategy with reusable flows, scheduled execution, and quality validation for reliable analytical data
Data Quality
- Apply data quality assessment with profiling, completeness checking, and consistency validation for analytical data readiness
- Implement data cleaning techniques with deduplication, standardization, and imputation for improved analytical data quality
- Analyze data quality impact on analytical accuracy, visualization reliability, and decision confidence for quality improvement prioritization
- Design a data quality framework with profiling, monitoring, and remediation for trusted analytical data management
7
Domain 7: Performance Optimization
2 topics
Workbook Performance
- Apply workbook optimization with extract sizing, query reduction, and calculation efficiency for fast dashboard rendering
- Implement performance best practices with data source optimization, filter efficiency, and visualization simplification for responsive analytics
- Analyze workbook performance using Performance Recording, query logging, and render timing for bottleneck identification
- Design a performance optimization methodology with baselines, benchmarks, and continuous monitoring for sustained analytics responsiveness
Data Architecture
- Apply data architecture decisions with extract versus live connection, data source publishing, and refresh scheduling for performance
- Implement published data sources with certified status, description, and access control for governed self-service analytics
- Analyze data architecture effectiveness including query patterns, refresh reliability, and source utilization for optimization
- Design a data architecture strategy with source governance, performance tiers, and caching for scalable organizational analytics
8
Domain 8: Governance and Collaboration
2 topics
Content Governance
- Apply content governance with project organization, naming conventions, and certification for managed analytics environments
- Implement content lifecycle management with development, testing, and production promotion for controlled analytics delivery
- Analyze governance effectiveness including content quality, compliance rates, and user satisfaction for governance optimization
- Design a content governance framework with publishing standards, review processes, and lifecycle management for enterprise analytics quality
Self-Service Analytics
- Apply self-service analytics enablement with data source preparation, template creation, and user training for analyst empowerment
- Implement self-service governance with certified sources, curated templates, and usage monitoring for controlled analytics democratization
- Analyze self-service adoption metrics including user creation rates, source utilization, and support requests for program optimization
- Design a self-service analytics strategy with tiered access, progressive enablement, and community building for sustainable analytics culture
Scope
Included Topics
- All Data Analyst exam domains.
- Configuration and implementation of Tableau data analysis, visualization design, dashboard development, and data storytelling.
- Enterprise Data Analyst design, architecture, integration, and adoption strategies.
- Scenario-based application of best practices for implementation challenges.
Not Covered
- Apex, LWC, API integrations beyond declarative configuration.
- Platform admin topics from Administrator certification.
- Unrelated Salesforce cloud implementations.
- Third-party tool internals.
- Infrastructure deployment beyond admin settings.
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