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Tableau TDS-C01 certification exam is a valuable credential for anyone who wants to demonstrate their expertise in Tableau Desktop. Whether you are a seasoned data analyst or a novice data scientist, this certification can help you gain a competitive edge in today's data-driven job market. With the Tableau TDS-C01 certification, you can showcase your skills and knowledge of Tableau Desktop and become a sought-after professional in your field.
Tableau TDS-C01 certification exam is designed to test a candidate's expertise in using Tableau Desktop. Tableau Desktop Specialist certification exam is recommended for professionals who want to demonstrate their proficiency in designing, building, and maintaining data visualizations using Tableau Desktop. TDS-C01 exam is conducted by Tableau, a leading data visualization software company based in Seattle, Washington, and is considered as an industry-standard certification for data analysts, business intelligence professionals, and data scientists.
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Tableau TDS-C01 (Tableau Desktop Specialist) Certification Exam is a globally recognized certification that validates an individual's expertise in using Tableau Desktop. TDS-C01 exam is designed for professionals who want to showcase their skills in data visualization, data analysis, and dashboard creation using Tableau Desktop. TDS-C01 exam is ideal for anyone who wants to enhance their career prospects in the field of data analytics, business intelligence, and data visualization.
Reference: https://www.tableau.com/learn/certification/tableau-desktop-specialist-exam-guide#Exam-Outline
Tableau TDS-C01 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Sharing Insights | 25% | - Share Content
- 1. Use Tableau Reader and PDF exports
- 2. Publish and share visualizations
- 3. Export views and workbooks
- Dashboards and Stories
- 1. Create dashboards
- 2. Add dashboard actions
- 3. Format and organize dashboard layouts
|
| Understanding Tableau Concepts | 15% | - Core Tableau Concepts
- 1. Dimensions and measures
- 2. Data types
- 3. Aggregations
- 4. Marks card functionality
- Visualization Principles
- 1. Interpret visual analytics
- 2. Choose appropriate chart types
- 3. Understand Tableau terminology
|
| Connecting to and Preparing Data | 23% | - Prepare Data
- 1. Data Interpreter
- 2. Data properties and metadata
- 3. Sort and organize data
- Connect to Data Sources
- 1. Use extracts and live connections
- 2. Identify connection types
- 3. Connect to files and databases
|
| Exploring and Analyzing Data | 37% | - Build Visualizations
- 1. Work with discrete and continuous fields
- 2. Create charts and views
- 3. Use dimensions and measures
- Analyze Data
- 1. Apply filters
- 2. Create calculated fields
- 3. Use groups and hierarchies
- 4. Use trend lines and forecasting
|