Data Representation and Visualization in Tableau from edX

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.

What you'll learn

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

Good to know

Know what's good

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Develops foundational skills for using tableau desktop’s drag and drop functions

Teaches how to create commonly used data representations to help visualize data

Taught by Beth Prince-Bradbury, who are instructors in the field of data visualization

Examines the various elements of graphical representation

Explores the basics of data representation and data visualization, which are standard in industry

Offers hands-on labs and interacive materials

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 Data Representation and Visualization in Tableau with these activities:

Refresher: Time Series Analysis Techniques

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Review time series analysis techniques to enhance foundational understanding and prepare for course concepts.

Browse courses on Time Series Analysis

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Revisit materials on time series decomposition, ARIMA models, and forecasting techniques.
Practice applying these techniques on sample datasets.

Attend Tableau-Focused Virtual Workshops

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Supplement course content with focused workshops that provide hands-on experience and expert guidance.

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Identify relevant Tableau workshops offered by the community or industry professionals.
Register and attend the workshops.
Actively participate in discussions and exercises.

Practice Creating Tableau Dashboards

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Reinforce dashboard creation skills by practicing with diverse datasets.

Browse courses on Data Visualization

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Access Tableau's practice datasets or gather your own.
Design and develop dashboards that effectively communicate insights.
Evaluate and iterate on dashboard designs to optimize presentation.

Three other activities

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Tutorials: Advanced Tableau Features

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Expand knowledge and skills by exploring advanced Tableau features through guided tutorials.

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Identify advanced topics in Tableau, such as parameter actions, calculated fields, and data blending.
Seek out tutorials or documentation on these topics.
Follow the tutorials and apply the techniques in practice.

Peer-to-Peer Code Review and Collaboration

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Enhance skills by exchanging feedback and collaborating with peers on Tableau projects.

Browse courses on Peer Review

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Join or form a study group with other students.
Share Tableau dashboards and visualizations for review.
Provide constructive feedback and suggestions to improve each other's work.

Project: Interactive Data Visualization Dashboard

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Apply course concepts to create a comprehensive and interactive dashboard that effectively communicates insights.

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Select a dataset and identify a specific business or research question to address.
Design and develop an interactive dashboard that visually represents the data and answers the question.
Publish and share the dashboard for feedback and critique.

Career center

Learners who complete Data Representation and Visualization in Tableau will develop knowledge and skills that may be useful to these careers:

Data Visualization Specialist

Data Visualization Specialists are responsible for creating visual representations of data. They use their skills to help businesses communicate data insights in a clear and concise way. Data Visualization Specialists often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Data Visualization Specialists develop a strong foundation in data representation and visualization, giving them the skills they need to succeed in this role.

See salaries and explore the career path for Data Visualization Specialist

Operations Research Analyst

Operations Research Analysts use data to help businesses improve their operations. They analyze data to identify inefficiencies and develop solutions to improve performance. Operations Research Analysts often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Operations Research Analysts develop a strong foundation in data representation and visualization, giving them the skills they need to succeed in this role.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians use data to help businesses understand the world around them. They analyze data to identify trends and patterns, and then use that information to make predictions. Statisticians often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Statisticians develop a strong foundation in data representation and visualization, giving them the skills they need to succeed in this role.

See salaries and explore the career path for Statistician

Business Intelligence Analyst

Business Intelligence Analysts use data to help businesses make better decisions. They analyze data to identify trends and patterns, and then use that information to make recommendations to businesses. Business Intelligence Analysts often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Business Intelligence Analysts develop a strong foundation in data representation and visualization, giving them the skills they need to succeed in this role.

See salaries and explore the career path for Business Intelligence Analyst

Data Scientist

Data Scientists are responsible for extracting insights from data using scientific methods and statistical techniques. They use their skills to solve complex business problems and develop data-driven solutions. Data Scientists often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Data Scientists develop a strong foundation in data representation and visualization, giving them an edge in the job market.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use their skills with data to translate raw data into digestible information that can be used by other stakeholders to make critical business decisions. They are responsible for organizing, cleaning, and analyzing data, as well as identifying patterns and trends. Data Analysts often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Data Analysts develop a strong foundation in data representation and visualization, giving them an advantage in the competitive job market.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to help businesses make better decisions. They analyze data to identify trends and patterns, and then use that information to make recommendations to businesses. Business Analysts often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Business Analysts develop a strong foundation in data representation and visualization, giving them the skills they need to succeed in this role.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use data to help businesses make investment decisions. They analyze data to identify trends and patterns, and then use that information to make recommendations to businesses. Financial Analysts often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Financial Analysts develop a strong foundation in data representation and visualization, giving them the skills they need to succeed in this role.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use data to help businesses identify and manage risks. They analyze data to identify potential risks and develop strategies to mitigate those risks. Risk Analysts often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Risk Analysts develop a strong foundation in data representation and visualization, giving them the skills they need to succeed in this role.

See salaries and explore the career path for Risk Analyst

Marketing Analyst

Marketing Analysts use data to help businesses understand their customers and develop effective marketing campaigns. They analyze data to identify trends and patterns, and then use that information to make recommendations to businesses. Marketing Analysts often work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Marketing Analysts develop a strong foundation in data representation and visualization, giving them the skills they need to succeed in this role.

See salaries and explore the career path for Marketing Analyst

Database Administrator

Database Administrators are responsible for managing and maintaining databases. They work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Database Administrators develop a strong foundation in data representation and visualization, giving them a better understanding of the data they are working with and how to use it to make informed decisions.

See salaries and explore the career path for Database Administrator

Software Engineer

Software Engineers design, develop, and maintain software applications. While not all Software Engineers work with data, many do. For those that do, it is essential to be proficient in data visualization tools like Tableau. This course can help aspiring Software Engineers develop a strong foundation in data representation and visualization, giving them the skills they need to work with data effectively.

See salaries and explore the career path for Software Engineer

Project Manager

Project Managers are responsible for planning, executing, and closing projects. They work with large volumes of data to track progress and identify risks. This course can help aspiring Project Managers develop a strong foundation in data representation and visualization, giving them the skills they need to understand data and use it to make informed decisions.

See salaries and explore the career path for Project Manager

Product Manager

Product Managers are responsible for managing the development and marketing of products. They work with large volumes of data to understand customer needs and develop products that meet those needs. This course can help aspiring Product Managers develop a strong foundation in data representation and visualization, giving them the skills they need to understand data and use it to make informed decisions.

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Data Engineer

Data Engineers are responsible for designing, building, and maintaining the infrastructure that stores and processes data. They work with large volumes of data, making it essential for them to be proficient in data visualization tools like Tableau. This course can help aspiring Data Engineers develop a strong foundation in data representation and visualization, giving them a better understanding of the data they are working with and how to use it to make informed decisions.

See salaries and explore the career path for Data Engineer

Data Representation and Visualization in Tableau

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