In this first course of this specialization, you will discover what data visualization is, and how we can use it to better see and understand data. Using Tableau Public, we’ll examine the fundamental concepts of data visualization and explore the Tableau interface, identifying and applying the various tools Tableau has to offer. By the end of the course you will be able to prepare and import data into Tableau and explain the relationship between data analytics and data visualization. This course is designed for the learner who has never used Tableau before, or who may need a refresher or want to explore Tableau in more depth. No prior technical or analytical background is required. The course will guide you through the steps necessary to create your first visualization from the beginning based on data context, setting the stage for you to advance to the next course in the Specialization.

Fundamentals of Visualization with Tableau

Fundamentals of Visualization with Tableau
This course is part of Data Visualization with Tableau Specialization

Instructor: Alexandra Wilson
Access provided by Colegio de Estudios Superiores de Administracion - CESA
277,703 already enrolled
6,771 reviews
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What you'll learn
Install Tableau Public Software and create a visualization
Examine and navigate the Tableau Public workspace
Practice and connect to different data sources
Examine ways to define your project
Skills you'll gain
Tools you'll learn
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Reviewed on Aug 24, 2020
Am glad I learnt a lot from this module, which I know will sharpen my skills for my chosen career path as a data scientist. Am hoping to learn more new skills to improve on my already existing skills.
Reviewed on May 19, 2020
It was easy to follow and the course materials and the resources helped a lot. I used the Tableau Desktop version and still, it accommodated it in the assignment. Very Well structured course
Reviewed on Jan 25, 2021
Pretty good introduction specially for those with no experience with Tableau like me. Truly covered the real basics. Looking forward to learn much complex visualizations on the succeeding courses.
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