DA-201 · ● Active · Associate · Salesforce / Tableau
Professional-level certification validating advanced Tableau Desktop skills including data exploration, analysis, visualization, and business insights delivery. Targets analysts, BI professionals, and decision-support practitioners who work with Tableau Server or Cloud. Launched post-Salesforce acquisition; now core to the Salesforce credential pathway alongside Desktop Specialist (entry) and Architect (expert).
Exam facts
| Field | Value |
|---|---|
| Cost | $250 USD |
| Duration | 105 minutes |
| Questions | 60 scored + up to 5 unscored research questions |
| Passing | 65% |
| Format | Multiple choice, multiple-select, active-screen items |
| Delivery | Pearson VUE (online proctored) |
| Languages | English |
| Valid | 2 years |
| Renewal | Retake exam to recertify |
| Prerequisites | None (6+ months hands-on Tableau experience recommended) |
| Released | 2019 (as Tableau certification post-acquisition) |
| Retiring | N/A |
Vendor source — Salesforce Tableau Certification ↗
Official exam guide — Tableau Certified Data Analyst Exam Guide ↗
Exam objectives — Tableau Data Analyst Exam Prep ↗
About
The Tableau Certified Data Analyst (DA-201) certification validates professional-level proficiency with Tableau Desktop, Tableau Prep, and Tableau Server/Cloud for exploratory data analysis, advanced visualizations, and business insights delivery. Positioned as the "associate" tier (between entry-level Desktop Specialist and expert-level Architect certs), DA-201 emphasizes practical problem-solving: connecting to real data sources, preparing complex datasets, creating advanced calculated fields and LOD expressions, designing interactive dashboards with actions, and publishing content at scale. Recommended for business analysts, data analysts, BI developers, and reporting specialists who enable stakeholders to make data-driven decisions. Valid for 2 years; retake required to recertify.
Domain context — Data, Analytics & Business Intelligence
Tableau Certified Data Analyst sits at the professional analyst level within the broader Data, Analytics & Business Intelligence domain, balancing technical depth (advanced calculations, data architecture) with stakeholder communication (story design, interactive insights). Complements but does not replace data engineering or statistical modeling certs.
Read full deep dive — Salesforce / Tableau Ecosystem →
Topics covered
- Connect and Prepare Data — Data source connectivity (live/extract), relationships and joins, data modeling, Tableau Prep workflows, authentication, data quality
- Explore and Analyze Data (42% of exam) — Calculated fields, Level of Detail (LOD) expressions, statistical functions, trend analysis, forecasting, aggregation strategies
- Create Content (26% of exam) — Advanced chart types, dual-axis and combined visualizations, dashboard design, actions and interactivity, story structure, formatting
- Publish and Manage Content (8% of exam) — Publishing to Tableau Server/Cloud, permissions and security, data source management, refresh scheduling, content organization
Source: Tableau Certification Exam Guide ↗
Common skills at Data, Analytics & Business Intelligence · Associate
Shared competencies for analysts and BI professionals at associate level — not Tableau-specific.
- SQL intermediate (subqueries, window functions, CTEs, performance optimization)
- Data modeling (star schema, dimensional design, fact vs. dimension tables)
- Statistical analysis (hypothesis testing, correlation, confidence intervals, distributions)
- Advanced exploratory data analysis (EDA) — drill-down, segmentation, cohort analysis
- Dashboard design best practices (information hierarchy, accessibility, mobile responsiveness)
- Time-series analysis and forecasting (trend decomposition, seasonality, forecasting models)
- Stakeholder communication — translating insights into business recommendations
Recommended courses at Data, Analytics & Business Intelligence · Associate
| Provider | Title | Cost | URL |
|---|---|---|---|
| Salesforce Trailhead | Tableau Data Analyst Certification Prep | Free | ↗ |
| Tableau eLearning | Certified Data Analyst Exam Prep | Free (14-day trial) | ↗ |
| Coursera | Tableau Business Intelligence Analyst Professional Certificate | $39–$49/mo | ↗ |
| Udemy (Lark Godin / Cody Steele) | Tableau Certified Data Analyst | $10–$80 | ↗ |
| DataCamp | Tableau Fundamentals to Advanced Analytics | $15–$25/mo | ↗ |
Course-selection rule: Begin with Salesforce Trailhead + official Tableau eLearning for exam alignment; Coursera and Udemy for deeper practice and real-world projects. Complete Trailhead modules before attempting practice exams.
Practice exams
| Provider | Title | Cost | URL |
|---|---|---|---|
| Tableau Official | Tableau Certified Data Analyst Sample Exam | Free | ↗ |
| Udemy (Cody Steele) | Tableau Certified Data Analyst Full Practice Exams | $10–$80 | ↗ |
| AnalyticsExam | Salesforce Analytics DA-201 Practice Questions | $15–$30 | ↗ |
| Whizlabs | Tableau Certified Data Analyst Practice Exam | $25 | ↗ |
| CertificationPractice | Salesforce Certified Tableau Data Analyst Practice Tests | Free/Paid | ↗ |
Practice exam rule: Complete the free official sample exam 3–4 weeks before test date to identify weak domains. Use paid full-length exams 1–2 weeks out for final verification and pacing practice.
Books
| Title | Author | Publisher | Year | ISBN | URL |
|---|---|---|---|---|---|
| Learning Tableau 2025 (6th ed.) | Joshua N. Milligan | Packt | 2025 | 978-1835886786 | ↗ |
| Tableau Certified Data Analyst Study Guide | Christopher Gardner | O'Reilly | 2024 | 978-1098175078 | ↗ |
| Learning Tableau 2022 (4th ed.) | Joshua N. Milligan, Blair Hutchinson, Mark Tossell, Roberto Andreoli | Packt | 2022 | 978-1801072328 | ↗ |
| Tableau Strategies — Advanced Techniques for Building Better Visualizations | Ann Jackson, Emily Kund | Wiley | 2022 | 978-1119680819 | ↗ |
Book rule: Learning Tableau 2025 is the most current comprehensive guide aligned with 2025/2026 Tableau features and DA-201 scope. Tableau Certified Data Analyst Study Guide provides focused exam prep with sample questions. Tableau Strategies is recommended post-certification for advanced visualization and design techniques.
Typical job titles at Data, Analytics & Business Intelligence · Associate
Data Analyst · Business Intelligence Developer · BI Analyst · Analytics Developer · Data Visualization Analyst · Business Systems Analyst · Financial Data Analyst · Reporting Analyst
(Job titles drawn from current job-board postings that list Tableau certification or equivalent hands-on Tableau experience as required or preferred.)
Salary
| Region | Range | Source |
|---|---|---|
| USD | $70,000 – $130,000 | Glassdoor ↗ · Robert Half ↗ · Levels.fyi ↗ |
| ZAR | R550,000 – R950,000 | Pnet ↗ · PayScale ZA ↗ · CareerJunction ↗ |
| GBP | £35,000 – £60,000 | IT Jobs Watch ↗ · Hays ↗ |
| EUR | €40,000 – €70,000 (DE/FR/NL) | Stepstone ↗ · LinkedIn Salary ↗ |
| AUD | A$75,000 – A$120,000 | SEEK ↗ · Payscale AUD ↗ |
Salary rule: Ranges reflect associate-level data analyst and BI professional roles requiring Tableau certification and 2–5 years experience. USD averages ~$102,000 (Glassdoor 2026). ZAR and GBP reflect regional market rates as of May 2026. Salaries vary significantly by industry (finance/tech premium), company size, and geography.
Skills validated
- Advanced data connection: Live and extract connections, relationships (1-to-1, many-to-1), join types, authentication and permissions
- Data preparation: Tableau Prep workflows, data cleansing, calculated fields, binning, custom groups, parameters, set operations
- Advanced calculations: Level of Detail (LOD) expressions (FIXED, INCLUDE, EXCLUDE), table calculations, running sums, percentile ranking
- Statistical analysis: Trend lines, forecasting, confidence intervals, distributions, correlation, hypothesis-like thinking
- Advanced visualizations: Dual-axis charts, combined worksheets, geographic mapping, density plots, box plots, reference lines/bands
- Dashboard interactivity: Actions (filter, highlight, URL, go-to-sheet), dynamic parameters, drill-down navigation, flow control
- Story design: Sequencing worksheets and dashboards to communicate insights, annotation, narrative flow
- Publishing & governance: Tableau Server/Cloud publishing, permissions, data source curation, refresh scheduling, content organization
- Performance optimization: Extract refresh tuning, calculation optimization, query performance, metadata design
Related certifications
- Prerequisite: Tableau Desktop Specialist ↗ (entry level; DA-201 builds on TDS scope)
- Prerequisite for: Tableau Certified Associate Architect ↗ · Tableau Certified Professional Architect ↗
- Stacks with: Salesforce Administrator ↗ · Microsoft Power BI Data Analyst ↗ (competing BI platform at similar level)
- Vendor overview: Salesforce Vendor Overview ↗
Sources
- Salesforce Tableau Certification Hub: https://www.tableau.com/learn/certification
- Tableau Certified Data Analyst Exam Guide: https://www.tableau.com/learn/certification/tableau-certified-data-analyst-exam-guide
- Tableau Data Analyst Exam Prep (Trailhead Academy): https://trailheadacademy.salesforce.com/certificate/exam-tableau-data-analyst---Analytics-DA-201
- Salesforce Trailhead Cert Prep: https://trailhead.salesforce.com/content/learn/modules/cert-prep-tableau-data-analyst/get-started-with-tableau-data-analyst-certification-prep
- Glassdoor Tableau Analyst Salary Survey: https://www.glassdoor.com/Salaries/tableau-analyst-salary-SRCH_KO0,15.htm
- Robert Half Salary Guide 2026: https://www.roberthalf.com/us/en/job-details/data-analyst-technology
- Coursera Tableau Professional Certificate: https://www.coursera.org/professional-certificates/tableau-business-intelligence-analyst
- DataCamp Tableau Fundamentals: https://www.datacamp.com/courses/tableau-fundamentals
- AnalyticsExam DA-201 Practice: https://www.analyticsexam.com/salesforce/analytics-da-201-salesforce-tableau-data-analyst
- Whizlabs Tableau Practice Exam: https://www.whizlabs.com/tableau-certified-data-analyst/
Last verified: 2026-05-01
Parent ecosystem: Salesforce / Tableau Ecosystem
Parent domain: Data, Analytics & Business Intelligence
Vendor overview: Salesforce Overview