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Data Representation and Visualization in Tableau

Use Tableau to explore data and discover insights to innovate data-driven decision-making.

...
Data Representation and Visualization in Tableau

Choose your session:

11,226 already enrolled!
Starts Jan 23, 2023
Starts Jul 17, 2023

Data Representation and Visualization in Tableau

Use Tableau to explore data and discover insights to innovate data-driven decision-making.

Data Representation and Visualization in Tableau
4 weeks
6–8 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

Choose your session:

11,226 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Jan 23, 2023
Starts Jul 17, 2023

About this course

Skip About this course

Use Tableau to explore data and discover insights to innovate data-driven decision-making.

Employer demand for Tableau skills will grow 35% over the next 10 years. Whether you are in a data-centric role or just need to add data skills to take your job or career to the next level, this course will provide the foundation and skills to get started using one of today’s most impactful data visualization tools.

You will learn the basics of data representation and data visualization, and then explore the various elements of graphical representation. You will practice creating Tableau representations using your data sources to visually communicate insights.

Together we will discuss examples and cases of visual representations, assessing accuracy and identifying any misrepresentations, and ultimately evaluate decisions and solutions based on data visualizations.

You will gain foundational skills for using tableau desktop’s drag and drop functions. You will learn how to create commonly used data representations to help visualize data.

At a glance

What you'll learn

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After completing this course, learners will be able to:

Identify key points from data analysis and integrate them with other important information

Use Tableau to create meaningful tables and graphical representations to organize and visually present data

Critically assess graphical representations for accuracy and misrepresentation of data

Evaluate decisions/solutions based on data

About the instructors

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