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