Data Visualization and Analytics with Tableau

In today’s data-driven business world, the ability to characterise 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:

• Tableau Workspace

• Data Connection/Types

• Create Tables, Charts, Graphs

• Organise Data with Sort, Filter, Group & Set

• Field Calculation, Table Calculation, Level of Details (LOD)

• Parameters and dynamic calculated fields

• Data source Joins, Blending, Unions

• Dashboard Design Principles and checklist

• Tableau Dashboard & Story

• 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 visualisation 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