Tableau Certified Data Analyst: TDA-C01 Exam


"Tableau Certified Data Analyst", also known as TDA-C01 exam, is a Tableau Certification. With the complete collection of questions and answers, PrepAwayTest has assembled to take you through 178 Q&As to your TDA-C01 Exam preparation. In the TDA-C01 exam resources, you will cover every field and category in Tableau Certified Certification helping to ready you for your successful Tableau Certification.

  • Exam Code: TDA-C01
  • Exam Name: Tableau Certified Data Analyst
  • Total Questions: 178

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To become Tableau TDA-C01 certified, candidates must pass a rigorous exam that tests their knowledge and skills in using Tableau. TDA-C01 exam consists of multiple-choice questions, hands-on exercises, and scenario-based questions that test a candidate's ability to apply Tableau to real-world business problems. Candidates must score at least 75% to pass the exam and earn their certification.

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

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Tableau TDA-C01 (Tableau Certified Data Analyst) Exam is designed for professionals who want to demonstrate their expertise in using Tableau for data analysis. TDA-C01 exam tests candidates' ability to connect to and prepare data, create and share data visualizations, and analyze data using Tableau's powerful tools and features. Passing the TDA-C01 exam requires a deep understanding of data analysis principles, as well as proficiency in using Tableau software.

Tableau TDA-C01 Exam Syllabus Topics:

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

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