In today’s data-driven business world, the ability to characterize and communicate practical implications of quantitative analyses to any stakeholders becomes a crucial skill to master at the workplace.
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In this course, you will learn how to become a master at communicating business-relevant implications of data analyses using Tableau. This course investigates visual analytics and related concepts with Tableau through the completion of real-world case studies.
Course Highlights:
•Business intelligence overview:
•what is business intelligence?
•why it is important to business?
•what is tableau? why Tableau?
•Tableau Workspace:
•navigate the Tableau interface
•high level overview of Tableau functionality
•Data Connection/Types:
•connect to data file/database
•build table relationships
•make data extraction
•Create Tables, Charts, Graphs:
•detailed steps to create various charts, maps, scatterplots, waterfall etc. as dashboard components
•Organize Data with Sort, Filter, Group & Set
•Field Calculation, Table Calculation, Level of Details (LOD)
•field calculation: mathematical, string, date, logical operations
•table calculation: aggregation, percentage, difference, running total etc.
•LOD: FIX, EXCLUDE, INCLUDE
•Parameters and dynamic calculated fields:
•walk through the different techniques to build interactivity using parameters
•Data source Joins, Blending, Unions
•Dashboard Design Principles and checklist:
•main principles of dashboarding from design prospective
•Tableau Dashboard & Story: combine the components into a compelling data stories
•Implement efficiency tips and tricks
•Build dashboards and make impacts with two real-world examples
Hands-on Projects
The final part of the course has two hands-on project where you use Tableau to create your own interactive visualization dashboards. Save your project to the Tableau Public website and you’ll have a project you can show potential employers.
•COVID-19 tracking project
•Boeing Market Outlook 2020-2039 project
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