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About Tableau TDS-C01 Exam

Tableau TDS-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Sharing Insights: This section measures the skills of Tableau Developers in presenting and sharing data insights effectively. It covers formatting views for presentation, including the use of colors, fonts, shapes, and animations. Candidates should be able to create and modify dashboards by adding worksheets, interactive elements, and dashboard actions. The exam also tests knowledge of creating device-specific dashboards and stories.
Topic 2	Exploring and Analyzing Data: Data Analysts are evaluated on their ability to create and manipulate various chart types in Tableau. This domain covers the creation of basic charts such as bar charts, line charts, scatterplots, and maps. It also includes more advanced visualizations like combined axis charts, dual axis charts, and density maps.
Topic 3	Understanding Tableau Concepts: Data Analysts are evaluated on their understanding of fundamental Tableau concepts in this domain. It covers the distinctions between dimensions and measures, discrete and continuous fields, and their implications in visualizations. Candidates should comprehend how discrete and continuous fields are displayed differently and the impact of using discrete date parts versus continuous date values. The exam also tests knowledge of aggregations, including the default aggregation for measures and how aggregated measures change when dimensions are added to a view.
Topic 4	Connecting to and Preparing Data: This section of the exam measures the skills of Tableau Developers and covers the fundamentals of data connection and preparation in Tableau. It includes creating live connections and extracts, understanding their differences, and saving metadata properties. Candidates should be able to create data sources with multiple connections and manage the data model by adding relationships, joins, and unions. The exam also tests knowledge of data property management, including renaming fields, assigning aliases and geographic roles, changing data types, and modifying default properties. A key skill measured is the ability to create an extract from a data source, which optimizes performance for large datasets.

Reference: https://www.tableau.com/learn/certification/tableau-desktop-specialist-exam-guide#Exam-Outline

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