Salesforce Tableau Data Analyst study guide
Salesforce Tableau Data Analyst · Work through your exam, one topic at a time.
The Salesforce Certified Tableau Data Analyst credential is a professional certification for people who use Tableau to turn business questions into answers. As described on the official credential page, certified Tableau Data Analysts "enable stakeholders to make business decisions by understanding the business problem, identifying data to explore for analysis, and delivering actionable insights." It suits BI analysts, reporting specialists, analytics consultants, and Salesforce or Tableau practitioners who already build views and dashboards and want a formal marker of that skill. The Salesforce Tableau Data Analyst study guide has 4 sections and about 1,457 words.
01Data Preparation
Data Preparation questions ask whether you can turn a raw connection into a trustworthy, analysis-ready source before you build a single chart. Know the layers: the logical layer (relationships, added in 2020.2, drawn as a "noodle") and the physical layer (joins and unions inside each logical table).
374 words, about 2 min02Data Exploration and Analysis
You must be fluent in dimensions vs measures and the discrete (blue) vs continuous (green) distinction - the same field can be either, and that choice changes whether you get headers or axes. Know the aggregation functions: SUM , AVG , MIN , MAX , COUNT , COUNTD , and ATTR (returns when multiple values exist).
371 words, about 2 min03Data Visualization and Dashboards
Mapping fields to Mark types and shelves is the core skill: Rows / Columns for position, Color , Size , Label , Detail , and Tooltip for encoding. Bars compare magnitudes, lines show change over time, heatmaps and highlight tables use color on a grid, Gantt bars need a duration measure, and maps need geographic roles (assign them in the data pane).
355 words, about 2 min04Deployment, Sharing, and Governance of Content
Content lives on Tableau Server or Tableau Cloud inside sites , organized into projects (which can nest). Two content types matter most: workbooks and published data sources - the latter is the governance lever that lets many workbooks share one certified definition.
357 words, about 2 min