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Introduction to Tableau

Tableau Learning Partner Instructor

4.8

Based on 210 ratings

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Tableau Learning Partner Instructor

The Introduction to Tableau course will give you an understanding of the value of data visualizations. You will learn how to preprocess data and how to combine data from multiple tables found within the same data source as well as other data sources in Tableau Public. You will have developed the skills to leverage data visualization as a powerful tool for making informed decisions.

This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program.

By the end of the course, you will be able to:

-Describe the value of data visualizations in the field of business analytics.

-Preprocess data in Tableau Public.

-Combine data from multiple tables found within the same data source as well as other data sources in Tableau Public.

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What's inside

Syllabus

Introduction to Tableau Public

Welcome to the first week of the course! This week, you’ll start with a high-level overview of data visualizations. Specifically, you'll learn what they are and what makes them so powerful and — as a result — why they are such a vital asset when it comes to not only discovering insights but also communicating those insights with stakeholders. The focus will then shift to Tableau, one of the most popular data visualization tools in the analytics industry. In this module, you’ll get signed up with a Tableau Public account and then dive right in by connecting to a data source and exploring the different components of Tableau.

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Introduces foundational principles and applications, which are core skills for analysts

Taught by Tableau Learning Partner Instructors, who are recognized for their work in the field

Introduces data visualization as a vital asset for analysis and communication

Emphasizes the importance of data preparation, which is critical for accurate analysis

Covers multiple data source integration, a highly relevant skill for analysts

Provides hands-on labs, which are beneficial for practical learning

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Reviews summary

A practical introduction to tableau public

According to students, this course is a highly effective starting point for those new to Tableau Public, especially aspiring business intelligence or data reporting analysts. Learners consistently praise the clear and easy-to-follow explanations from the instructor and the abundance of practical, hands-on exercises that solidify understanding. Key modules on data preparation and combining multiple data sources are highlighted as particularly valuable for building foundational skills. While it excels as an introduction, some students note that the course maintains an introductory pace and might feel too basic or lack deeper coverage for those with prior Tableau experience or seeking advanced topics, suggesting further study may be required to achieve expert proficiency.

Covers essential data preparation and combination techniques.

"I particularly appreciated the modules on data preparation, which is often overlooked."

"I got a good grasp on combining data from multiple sources."

"I particularly liked the module on multiple data sources and how to efficiently combine them."

The instructor provides clear and easy-to-follow explanations.

"The instructor's explanations were clear and easy to follow, even for complex topics."

"The instructor is very knowledgeable and presents information clearly."

"I found the explanations easy to grasp and the demos really helpful."

Features practical exercises and real-world examples.

"The hands-on exercises were excellent and truly helped solidify my understanding."

"The practical approach with real-world examples makes learning very engaging."

"I was able to apply what I learned to my work almost immediately."

Ideal for those new to Tableau Public or data visualization.

"Just finished this course and I feel much more confident with Tableau Public... Highly recommend for anyone starting out!"

"This course is a great starting point for beginners."

"Excellent course for getting started with Tableau. The course gave me a strong foundation..."

Focuses on fundamentals, may not satisfy advanced learners.

"I found this course too superficial for my needs... I expected more depth in data manipulation."

"If you have any prior experience, you might find it a bit slow. Some demos felt too basic."

"It's an introduction, but it definitely requires further study if you want to become truly proficient."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Tableau with these activities:

Review Data Visualization Concepts

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Review key concepts in data visualizations to strengthen your foundation for this course.

Browse courses on Data Visualizations

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Identify different types of data visualizations.
Explore the benefits and drawbacks of each type.
Practice creating simple visualizations using a tool like Tableau Public.

Tableau Public Documentation Review

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Review the Tableau Public documentation to refresh your knowledge of the software's features and functionality.

Browse courses on Tableau Public

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Visit the Tableau Public documentation website.
Read the documentation for the topics that you need to refresh your knowledge on.

Tableau Public Tutorial Series

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Get a quick overview of the basics of the Tableau Public software, its features, and how to use it.

Browse courses on Tableau Public

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Watch the 'Getting Started with Tableau Public' tutorial series.
Follow along with the tutorials and try out the steps on your own.

11 other activities

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Tableau Public Workshop

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Attend a Tableau Public workshop to learn more about the software and its features.

Browse courses on Tableau Public

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Find a Tableau Public workshop that is relevant to your interests.
Register for the workshop and attend the sessions.
Participate in the workshop activities and ask questions.

Tableau Public User Forum Participation

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Connect with other Tableau Public users to share knowledge, ask questions, and get feedback.

Browse courses on Tableau Public

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Join the Tableau Public User Forum.
Browse the forum topics and ask questions or participate in discussions.
Share your own Tableau Public visualizations and get feedback from others.

Data Manipulation Exercises

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Reinforce your understanding of data manipulation techniques by completing practice exercises.

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Practice using Tableau Public's filtering and sorting capabilities to explore data.
Clean and prepare a dataset using Tableau Public.
Combine data from multiple tables or sources.
Create calculated fields and measures.

Tableau Public Exercises

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Practice creating and modifying visualizations using Tableau Public.

Browse courses on Data Visualization

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Download the exercise dataset from the Tableau Public website.
Follow the instructions in the exercise guide to create the visualizations.
Experiment with different visualization types and options.

Tableau Public User Group Discussion

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Connect with other Tableau Public users to share knowledge and learn from their experiences.

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Attend a virtual or in-person user group meeting.
Engage in discussions about Tableau Public best practices.
Share your own tips and tricks with the group.

Tableau Public Visualization Project

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Create a Tableau Public visualization to demonstrate your skills and understanding of the software.

Browse courses on Data Visualization

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Choose a dataset that you are interested in visualizing.
Design and create a visualization that effectively communicates the insights from the data.
Share your visualization with others and get feedback.

Contribute to the Tableau Public Community

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Give back to the Tableau Public community by contributing to open-source projects.

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Identify an open-source Tableau Public project to contribute to.
Create a pull request or issue on the project's GitHub repository.
Collaborate with other contributors to improve the project.

Tableau Public Community Contributions

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Contribute to the Tableau Public community by sharing your visualizations, helping others, or reporting bugs.

Browse courses on Tableau Public

Show steps

Visit the Tableau Public community website.
Share your Tableau Public visualizations with the community.
Help other users by answering questions or providing feedback.
Report any bugs or issues that you find.

Explore Advanced Tableau Public Features

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Expand your knowledge of Tableau Public by following guided tutorials on advanced features.

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Create interactive dashboards and visualizations.
Utilize Tableau Public's mapping capabilities.
Learn about advanced analytics techniques.

Tableau Public Challenge

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Test your Tableau Public abilities by participating in a competition or challenge.

Show steps

Identify a relevant challenge or competition.
Create a data visualization that meets the challenge requirements.
Submit your visualization and receive feedback from the community.

Data Visualization Project

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Apply your Tableau Public skills by creating a data visualization project based on a real-world dataset.

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Identify a relevant dataset and research the topic.
Clean and prepare the data in Tableau Public.
Design and create interactive visualizations.
Write a report summarizing your findings and insights.

Career center

Learners who complete Introduction to Tableau will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to provide insights that help businesses make informed decisions. This course provides a strong foundation in data visualization, which is an essential skill for Data Analysts. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends and patterns that can help businesses improve their operations. This course provides a solid foundation in data visualization, which is an essential skill for Business Intelligence Analysts. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

Data Scientists use data to build models that can predict future outcomes. This course provides a strong foundation in data visualization, which is an essential skill for Data Scientists. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure that stores and processes data. This course provides a solid foundation in data visualization, which is an essential skill for Data Engineers. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. This course provides a strong foundation in data visualization, which is an essential skill for Software Engineers. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. This course provides a strong foundation in data visualization, which is an essential skill for Quantitative Analysts. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. This course provides a strong foundation in data visualization, which is an essential skill for Actuaries. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Actuary

Financial Analyst

Financial Analysts use data to analyze financial markets and make investment recommendations. This course provides a strong foundation in data visualization, which is an essential skill for Financial Analysts. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Financial Analyst

Market Research Analyst

Market Research Analysts use data to understand consumer behavior and trends. This course provides a strong foundation in data visualization, which is an essential skill for Market Research Analysts. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Market Research Analyst

Operations Research Analyst

Operations Research Analysts use data to improve the efficiency of business operations. This course provides a strong foundation in data visualization, which is an essential skill for Operations Research Analysts. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians use data to draw conclusions about the world. This course provides a strong foundation in data visualization, which is an essential skill for Statisticians. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Statistician

Data Visualization Specialist

Data Visualization Specialists create data visualizations that communicate insights to stakeholders. This course provides a strong foundation in data visualization, which is an essential skill for Data Visualization Specialists. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Data Visualization Specialist

Information Architect

Information Architects design and organize information systems. This course provides a strong foundation in data visualization, which is an essential skill for Information Architects. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Information Architect

User Experience Designer

User Experience Designers design user interfaces for websites and applications. This course provides a strong foundation in data visualization, which is an essential skill for User Experience Designers. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for User Experience Designer

Product Manager

Product Managers plan and develop new products. This course provides a strong foundation in data visualization, which is an essential skill for Product Managers. By learning how to create clear and concise data visualizations, you will be able to communicate your findings effectively to stakeholders.

See salaries and explore the career path for Product Manager

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Tableau.

Beautiful Evidence

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Classic work on data visualization, covering the principles of effective data visualization and the use of various techniques to create visualizations.

Beautiful Evidence

Hardcover

Data Visualization

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Provides a comprehensive overview of data visualization, covering the principles of effective data visualization, best practices for creating visualizations, and the use of Tableau to create interactive data visualizations.

Data Visualization: A Successful Design Process: A...

Paperback

Data Visualization: Representing Information on...

Kindle Edition

$$$

Data Visualization Design and Utilization (Korean...

Paperback

$$$

Storytelling with You

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Provides guidance on how to use data visualization to tell stories and communicate insights, which can be useful for learners who want to use Tableau to create presentations and reports.

Storytelling with You: Plan, Create, and Deliver a...

Paperback

Storytelling with You: Plan, Create, and Deliver a...

Kindle Edition

The Big Book of Dashboards

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Collection of case studies on dashboards, providing examples of how dashboards can be used to visualize data and communicate insights.

The Big Book of Dashboards: Visualizing Your Data...

Paperback

The Big Book of Dashboards: Visualizing Your Data...

Kindle Edition

Interactive Data Visualization for the Web

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Covers the use of JavaScript and D3.js to create interactive data visualizations for the web, which can be useful for learners who want to extend their Tableau skills to web development.

Interactive Data Visualization for the Web: An...

Paperback

Interactive Data Visualization for the Web: An...

Paperback

(中文) 数据可视化实战:使用D3设计交互式图表 (图灵程序设计丛书 23) (Chinese Edition)

Kindle Edition

Show Me the Numbers

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Provides guidance on how to design effective dashboards, covering topics such as the principles of dashboard design, the use of color and typography, and the evaluation of dashboards.

Show Me the Numbers: Designing Tables and Graphs to...

Hardcover

Show Me the Numbers: Designing Tables and Graphs to...