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To be eligible for the Tableau TDA-C01 certification exam, candidates should have a good understanding of data analysis concepts and techniques, as well as a basic knowledge of statistics and data visualization. Candidates should also have experience using Tableau software to create reports, dashboards, and data visualizations. Additionally, candidates should be familiar with data preparation techniques such as data cleaning and data shaping.

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

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Tableau TDA-C01日本語 Exam Syllabus Topics:

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

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