Welcome to your one-stop solution for all the information you need to excel in the Tableau Certified Data Analyst (TDA-C01) Certification exam. This page provides an in-depth overview of the Tableau TDA-C01 Exam Summary, Syllabus Topics, and Sample Questions, designed to lay the foundation for your exam preparation. We aim to help you achieve your Tableau Certified Data Analyst certification goals seamlessly. Our detailed syllabus outlines each topic covered in the exam, ensuring you focus on the areas that matter most. With our sample questions and practice exams, you can gauge your readiness and boost your confidence to take on the Tableau Data Analyst exam.
Why Tableau Data Analyst Certification Matters
The Tableau TDA-C01 exam is globally recognized for validating your knowledge and skills. With the Tableau Certified Data Analyst credential, you stand out in a competitive job market and demonstrate your expertise to make significant contributions within your organization. The Tableau Certified Data Analyst Certification exam will test your proficiency in the various syllabus topics.
Tableau TDA-C01 Exam Summary:
| Exam Name | Tableau Certified Data Analyst |
| Exam Code | TDA-C01 |
| Exam Duration | 120 minutes |
| Exam Questions | 40-45 |
| Passing Score | 750/1000 |
| Exam Price | $250 (USD) |
| Books / Training | Analyst Learning Path |
| Exam Registration | Pearson VUE |
| Sample Questions | Tableau Data Analyst Certification Sample Question |
| Practice Exam | Tableau Data Analyst Certification Practice Exam |
Tableau TDA-C01 Exam Syllabus 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 your knowledge and understanding in the specified areas through the TDA-C01 certification exam. The Tableau Certified Data Analyst exam holds significant value in the market due to the brand reputation of Tableau. We highly recommend thorough study and extensive practice to ensure you pass the Tableau Certified Data Analyst exam with confidence.