Data Visualization and Analytics with Tableau in 2023

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. Get Started TodayIn 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 interfacehigh level overview of Tableau functionalityData Connection/Types: connect to data file/databasebuild table relationshipsmake data extractionCreate Tables, Charts, Graphs: detailed steps to create various charts, maps, scatterplots, waterfall etc. as dashboard componentsOrganize Data with Sort, Filter, Group & SetField Calculation, Table Calculation, Level of Details (LOD)field calculation: mathematical, string, date, logical operationstable calculation: aggregation, percentage, difference, running total etc. LOD: FIX, EXCLUDE, INCLUDEParameters and dynamic calculated fields: walk through the different techniques to build interactivity using parametersData source Joins, Blending, UnionsDashboard Design Principles and checklist: main principles of dashboarding from design prospectiveTableau Dashboard & Story: combine the components into a compelling data storiesImplement efficiency tips and tricksBuild dashboards and make impacts with two real-world examplesHands-on ProjectsThe 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 projectBoeing Market Outlook 2020-2039 project