The Complete Tableau Bootcamp for Data Visualization Course
Build 70+ Tableau Worksheets and Create Professional Dashboards – Master Tableau 10 for Data Visualization and Analytics
Welcome to the best online resource for learning about Tableau 10! This course will teach you everything you need to know to create amazing data visualizations and dashboards with Tableau! Every module of this course is carefully designed to teach you what you need to know to create amazing data visualizations and dashboards with Tableau. We start with the basics and gradually build up your Tableau skill set by leveraging awesome real world data sets to create visualizations for your portfolio of projects.
What you’ll learn
- Learn the Foundational Elements of Data Visualization, and Apply Them Using Tableau
- Build Professional Business Dashboards to Effectively Convey Patterns and Trends in Your Data
- Learn and Master Level of Detail (LOD) Expressions to Solve Complex Tasks in Data Visualization
- Learn and Master the Usage of Basic Calculations to Solve Common Tasks in Data Visualization
- Learn and Master Table Calculations to Apply Further Transformations to Your Visualization
- Learn to Navigate the Dashboard Workspace, and Customize Your Dashboards to Different Devices
- Learn and Master Tableauâs Mapping Functionality to Answer Spatial Questions
- Learn to Style and Format Maps with Mapbox, WMS, and Dual Axis capabilities
- Learn to Find, and Make of Use of Various Spatial Files in Tableau
- Learn and Master the Usage of Context Filters, Dimension Filters, Top N Filters, and Measure Filters.
- Use Heat Maps to Find Hot Spots in Overlapping Data
- Learn to Add Interactivity to your Plots using Set actions and Parameter Control
- Learn about Different Join types to Combine your Data into a Single Rich Data Source
- Learn to Use Story Points to Tell Stories With Your Data
- Apply Pivots to your Data for Effective Data Processing
- Implement Unions to Combine Multiple Data Sources into One
- Learn About Theoretical Concepts Such as Data Types and Pre-attentive Processing
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