Tableau TDA-C01日本語 dumps - in .pdf

TDA-C01日本語 pdf
  • Exam Code: TDA-C01日本語
  • Exam Name: Tableau Certified Data Analyst (TDA-C01日本語版)
  • Updated: Sep 04, 2026
  • Q & A: 178 Questions and Answers
  • PDF Price: $69.99

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  • Exam Code: TDA-C01日本語
  • Exam Name: Tableau Certified Data Analyst (TDA-C01日本語版)
  • Updated: Sep 04, 2026
  • Q & A: 178 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Tableau TDA-C01日本語 dumps - Testing Engine

TDA-C01日本語 Testing Engine
  • Exam Code: TDA-C01日本語
  • Exam Name: Tableau Certified Data Analyst (TDA-C01日本語版)
  • Updated: Sep 04, 2026
  • Q & A: 178 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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Tableau TDA-C01 is a certification exam designed for individuals who want to enhance their skills and knowledge in data analytics. Tableau Certified Data Analyst (TDA-C01日本語版) certification is ideal for data analysts who want to validate their Tableau skills and knowledge. Passing TDA-C01-JPN exam demonstrates an individual's ability to use Tableau to connect to various data sources, perform data analysis, create and share visualizations, and design dashboards.

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Tableau TDA-C01 certification is a valuable credential for individuals who want to advance their careers in data analysis. It demonstrates to employers that the candidate has a deep understanding of Tableau software and the skills necessary to use it to solve complex business problems. Additionally, the certification can help individuals stand out in a competitive job market and increase their earning potential.

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

Tableau TDA-C01日本語 Exam Syllabus Topics:

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

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