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Tableau TDA-C01 certification exam is designed for individuals who want to demonstrate their proficiency in using Tableau for data analysis. Tableau Certified Data Analyst (TDA-C01日本語版) certification is ideal for data analysts, business analysts, and other professionals who work with data and want to enhance their skills in manipulating data, creating visualizations, and communicating insights effectively. Tableau Certified Data Analyst (TDA-C01日本語版) certification is recognized globally and is highly valued by employers.

Tableau TDA-C01 certification exam is a computer-based test that consists of multiple-choice questions. TDA-C01-JPN exam is divided into two sections: Desktop Specialist and Desktop Certified Associate. The Desktop Specialist section tests basic knowledge of Tableau Desktop, including data connectivity, creating visualizations, and sharing insights. The Desktop Certified Associate section delves deeper into advanced concepts such as data blending, calculations, and advanced analytics. TDA-C01-JPN exam is designed to assess the candidate's ability to use Tableau to perform complex data analysis and present findings in a clear and concise manner.

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Tableau TDA-C01 exam covers a wide range of topics, such as data preparation, data analysis, exploration, and visualization using Tableau. It offers a comprehensive exam experience consisting of multiple-choice questions, case studies, and scenarios that simulate real-world analytical problems. TDA-C01-JPN exam is also time-bound so that candidates can demonstrate their proficiency at analyzing data within strict conditions.

Tableau TDA-C01 certification exam is conducted by Tableau, Inc., a leading technology company that specializes in data visualization and business intelligence solutions. Tableau Certified Data Analyst (TDA-C01日本語版) certification exam is designed to assess the candidate's ability to analyze data, create visualizations, and develop dashboards using Tableau products. TDA-C01-JPN exam is conducted online, and candidates can take it from anywhere in the world.

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

Tableau TDA-C01日本語 Exam Syllabus Topics:

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

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