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Course Content
1. INTRODUCTION TO DATA VISUALIZATION & THE POWER OF TABLEAU
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What exactly is data visualization? Comparison and advantages of reading raw figures Actual use examples from a variety of business domains Without getting into Tableau’s technical specifics, here are some short and compelling examples. Tableau Installation Tableau user interface Making a connection to a data source Data types in Tableau Preparation of data.
2. ARCHITECTURE OF TABLEAU
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Tableau Desktop installation Tableau’s Architecture Tableau’s user interface (layout, toolbars, Data pane, Analytics pane, etc.) Tableau: Where to Begin Tableau’s methods for sharing and exporting work.
3. WORKING WITH METADATA & DATA BLENDING
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Excel connection PDFs and cubes Metadata and extract management Preparation of data Unions and Joins (Left, Right, Inner, and Outer) Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, and so on.
4. CREATION OF SETS
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Sets can be marked, highlighted, sorted, grouped, and used (making and editing sets, IN/OUT, and sets in hierarchies). Sets that are constant Sets, bins, and so on.
5. WORKING WITH FILTERS
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Filters (addition and removal) Continuous date, dimension, and measurement filtering Hierarchies, interactive filters, and mark cards Tableau: How to Make Folders Tableau Sorting Sorting Methods Tableau Filtering Filter varieties Order of operations filtering.
6. ORGANIZING DATA & VISUAL ANALYTICS
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Using the Formatting window to manipulate the menu, fonts, alignments, settings, and so on Using labels and tooltips to format data Annotations and axes can be edited. Cluster analysis with K-means Lines of trend and reference Tableau’s visual analytics Forecasting, confidence intervals, reference lines, and bands are all terms that might be used.
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