This page is a one-stop solution for any information you may require for Tableau Certified Data Analyst Certification exam. The Tableau Data Analyst Exam Summary, Syllabus Topics and Sample Questions provide the base for the actual Tableau Certified Data Analyst exam preparation, we have designed these resources to help you get ready to take your dream exam.
The Tableau Certified Data Analyst credential is globally recognized for validating Tableau Certified Data Analyst knowledge. With the Tableau Certified Data Analyst Certification credential, you stand out in a crowd and prove that you have the Tableau Certified Data Analyst knowledge to make a difference within your organization. The Tableau Certified Data Analyst Certification (Data Analyst) exam will test the candidate's knowledge on following areas.
Tableau Data Analyst Exam Summary:
| Exam Name | Tableau Certified Data Analyst |
| Exam Code | Data Analyst |
| Exam Duration | 120 minutes |
| Exam Questions | 40-45 |
| Passing Score | 75% |
| Exam Price | $250 (USD) |
| Training | Analyst Learning Path |
| Exam Registration | Pearson VUE |
| Sample Questions | Tableau Certified Data Analyst Certification Sample Question |
| Practice Exam | Tableau Certified Data Analyst Certification Practice Exam |
Tableau Data Analyst Exam Topics:
| Objective | Details |
|---|---|
Connect to and Transform Data - 24% |
|
| Connect to data sources |
- Choose an appropriate data source - Choose between live connection or extract - Connect to extracts - Connect to spreadsheets - Connect to .hyper files (or .tde files) - Connect to relational databases - Pull data from relational databases by using custom SQL queries - Connect to a data source on Tableau Server - Replace the connected data source with another data source for an existing chart or sheet |
| Prepare data for analysis |
- Assess data quality (completeness, consistency, accuracy) - Perform cleaning operations - Organize data into folders - Use multiple data sources (establish relationships, create joins, union tables, blend data) - Prepare data by using Data Interpreter, pivot, and split - Create extract filters |
| Perform data transformation in Tableau Prep |
- Choose which data transformation to perform based on a business scenario - Combine data by using unions - Combine data by using joins - Shape data by using aggregations - Perform filtering - Shape data by using pivots |
| Customize fields |
- Change default field properties (types, sorting, etc.) - Rename columns - Choose when to convert between discrete and continuous - Choose when to convert between dimension and measure - Create aliases |
Explore and Analyze Data - 41% |
|
| Create calculated fields |
- Write date calculations (DATEPARSE, DATENAME…) - Write string functions - Write logical and Boolean expressions (If, case, nested, etc.) - Write number functions - Write type conversion functions - Write aggregate functions - Write FIXED LOD calculations |
| Create quick table calculations |
- Moving average - Percent of total - Running total - Difference and percent of difference - Percentile - Compound growth rate |
| Create custom table calculations |
- Year to date - Month to date - Year over year - Index - Ranking - First-last |
| Create and use filters |
- Apply filters to dimensions and measures - Configure filter settings including Top N, Bottom N, include, exclude, wildcard, and conditional - Add filters to context - Apply filters to multiple sheets and data sources |
| Create parameters to enable interactivity |
- In calculations - With filters - With reference lines |
| Structure the data |
- Sets - Bins - Hierarchies - Groups |
| Map data geographically |
- Create symbol maps - Create heat maps - Create density maps - Create choropleth maps (filled maps) |
| Summarize, model, and customize data by using the Analytics feature |
- Totals and subtotals - Reference lines - Reference bands - Average lines - Trend lines - Distribution bands - Forecast by using default settings - Customize a data forecasting model - Create a predictive model |
Create Content - 26% |
|
| Create charts |
- Create basic charts from scratch (bar, line, pie, highlight table, scatter plot, histogram, tree map, bubbles, data tables, Gantt, box plots, area, dual axis, combo) - Sort data (including custom sort) |
| Create dashboards and stories |
- Combine sheets into a dashboard by using containers and layout options - Add objects - Create stories |
| Add interactivity to dashboards |
- Apply a filter to a view - Add filter, URL, and highlight actions - Swap sheets by using parameters or sheet selector - Add navigation buttons - Implement user guiding sentences (click…, hover…, menu options) |
| Format dashboards |
- Apply color, font, shapes, styling - Add custom shapes and color palettes - Add annotations - Add tooltips - Apply padding - Remove gridlines, row-level and column-level bands, and shading - Apply responsive design for specific device layouts |
Publish and Manage Content on Tableau Server and Tableau Cloud - 9% |
|
| Publish Content |
- Publish a workbook - Publish a data source - Print content - Export content |
| Schedule data updates |
- Schedule data extract refreshes - Schedule a Tableau Prep workflow |
| Manage Published workbooks |
- Create alerts - Create subscriptions |
The Tableau has created this credential to assess the knowledge and understanding of a candidate in the area as above via the certification exam. The Tableau Certified Data Analyst Certification exam contains a high value in the market being the brand value of the Tableau attached with it. It is highly recommended to a candidate to do a thorough study and also get a hand full of the practice to clear Tableau Certified Data Analyst exam without any hiccups.