Tableau-Desktop-Specialist Exam Information and Guideline
Tableau Desktop Specialist
Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.
Exam Specification:
- Exam Name: Tableau Desktop Specialist
- Exam Code: Tableau-Desktop-Specialist
- Exam Duration: 2 hours
- Exam Format: Multiple-choice and multiple-answer questions
Course Outline:
1. Connecting to Data
- Connecting to various data sources
- Managing data connections
- Data preparation and cleansing
2. Exploring and Analyzing Data
- Creating visualizations using different chart types
- Applying filters, groups, and sets
- Performing calculations and aggregations
3. Creating and Customizing Dashboards
- Building interactive dashboards
- Adding interactivity through actions and filters
- Designing effective layouts and navigation
4. Sharing and Publishing Content
- Sharing workbooks and dashboards with others
- Publishing to Tableau Server or Tableau Public
- Managing user access and permissions
5. Data Blending and Advanced Analytics
- Blending data from multiple sources
- Performing advanced analytics using calculations and table calculations
- Utilizing advanced features such as parameters and level of detail expressions
Exam Objectives:
1. Connect to data from various sources and perform data preparation tasks.
2. Create visualizations using different chart types and apply filters, groups, and sets.
3. Build interactive dashboards with interactivity and effective design.
4. Share workbooks and dashboards with others and manage user access.
5. Blend data from multiple sources and perform advanced analytics using calculations.
6. Utilize advanced features such as parameters and level of detail expressions.
Exam Syllabus:
The exam syllabus covers the following topics (but is not limited to):
- Connecting to Data
- Exploring and Analyzing Data
- Creating and Customizing Dashboards
- Sharing and Publishing Content
- Data Blending and Advanced Analytics