Tableau TDA-C01 dumps - in .pdf

TDA-C01 pdf
  • Exam Code: TDA-C01
  • Exam Name: Tableau Certified Data Analyst
  • Updated: Sep 10, 2026
  • Q & A: 178 Questions and Answers
  • PDF Price: $59.99
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  • Exam Code: TDA-C01
  • Exam Name: Tableau Certified Data Analyst
  • Updated: Sep 10, 2026
  • Q & A: 178 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
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Tableau TDA-C01 dumps - Testing Engine

TDA-C01 Testing Engine
  • Exam Code: TDA-C01
  • Exam Name: Tableau Certified Data Analyst
  • Updated: Sep 10, 2026
  • Q & A: 178 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

About Tableau TDA-C01 VCE materials

Tableau TDA-C01 certification exam is an industry-standard certification exam for data analysts who wish to demonstrate their proficiency in using Tableau for data analysis and visualization. Tableau Certified Data Analyst certification program is designed to test the skills and knowledge of data analysts on Tableau’s data preparation, analysis, and visualization tools. TDA-C01 exam is structured to test the candidate's ability to use Tableau to connect to various data sources, create charts, graphs, and dashboards, and to analyze and interpret data to draw insights that can help businesses make informed decisions.

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Tableau TDA-C01 Exam is a certification that validates an individual's knowledge and skills in using Tableau for data analysis. Tableau Certified Data Analyst certification is designed for data analysts who want to demonstrate their proficiency in using Tableau to visualize, analyze, and interpret data. TDA-C01 exam covers a wide range of topics, including data connections, data blending, data aggregation, data visualization, and dashboard creation.

Reference: https://www.tableau.com/learn/certification/tableau-certified-data-analyst-exam-guide

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Tableau TDA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Connect to and Transform Data24%- Tableau Prep Transformations
  • 1. Filtering and restructuring data
    • 2. Aggregations and shaping data
      - Field Customization
      • 1. Dimensions vs measures
        • 2. Data types and field properties
          • 3. Discrete vs continuous fields
            • 4. Aliases and renaming fields
              - Data Preparation
              • 1. Data cleaning and validation
                • 2. Pivoting, splitting, Data Interpreter
                  • 3. Joins, unions, relationships, blending
                    - Data Connections
                    • 1. Custom SQL usage
                      • 2. Connect to data sources
                        • 3. Connect to relational databases and spreadsheets
                          • 4. Live vs extract connections
                            Publish and Manage Content9%- Scheduling and Automation
                            • 1. Tableau Prep workflow scheduling
                              • 2. Data extract refresh scheduling
                                - Publishing
                                • 1. Export and print content
                                  • 2. Publish workbooks and data sources
                                    - Content Management
                                    • 1. Alerts and subscriptions
                                      Explore and Analyze Data41%- Filters and Parameters
                                      • 1. Context filters
                                        • 2. Top N / conditional filters
                                          • 3. Parameters for interactivity
                                            • 4. Dimension and measure filters
                                              - Table Calculations
                                              • 1. Percent of total and percent difference
                                                • 2. Running total and moving average
                                                  • 3. Ranking and percentile
                                                    - Calculated Fields
                                                    • 1. Date, string, numeric, logical calculations
                                                      • 2. Aggregations
                                                        • 3. FIXED LOD expressions
                                                          • 4. Type conversions
                                                            - Data Structure and Analytics
                                                            • 1. Geographic mapping (heat, symbol, filled maps)
                                                              • 2. Reference lines, bands, distributions
                                                                • 3. Forecasting and trend analysis
                                                                  • 4. Sets, groups, hierarchies, bins
                                                                    Create Content26%- Dashboards and Stories
                                                                    • 1. Story points creation
                                                                      • 2. Dashboard layout and containers
                                                                        - Dashboard Interactivity
                                                                        • 1. User guidance and tooltips
                                                                          • 2. Filters, actions, and highlights
                                                                            • 3. Navigation and parameter actions
                                                                              - Visualization Creation
                                                                              • 1. Sorting and chart formatting
                                                                                • 2. Bar, line, pie, scatter, histogram, treemap, box plot, etc.
                                                                                  - Dashboard Formatting
                                                                                  • 1. Color, fonts, shapes
                                                                                    • 2. Annotations and padding
                                                                                      • 3. Responsive layouts

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