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Data Visualization and Representation

This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.
This course is also part of a certificate:

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This course features interactive videos to help you understand both the analytical concepts and the software. This course contains a capstone project, in which you will apply the concepts taught using a separate data source; this realistic project gives learners the practice and confidence necessary to connect, explore, and analyze data sources into the future.
This course is also part of a certificate:

Data Analytics and Visualization Certificate

What you'll learn

First, learners will learn the Tableau interface and becoming familiar with the importance of data visualization in a business setting. Then, learners will gain practice building many types of visualizations using different datasets. Finally, learn how to combine multiple visualizations into a single dashboard, adding interactive features and instructive text so that business stakeholders can access the information needed to make decisions.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops core data visualization skills in Tableau, which is widely used in business settings
Uses interactive videos to make concepts accessible and engaging
Provides a well-structured learning path, starting with the basics and building to more advanced concepts
Offers a capstone project that allows learners to apply their skills in a realistic setting
Is part of a larger certificate program, allowing learners to expand their knowledge in data analytics

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Activities

Coming soon We're preparing activities for Data Visualization and Representation. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Data Visualization and Representation will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialists design and develop data visualizations to communicate insights from data. This course provides a comprehensive understanding of data visualization principles and techniques. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and engaging manner, a skill highly sought after by Data Visualization Specialists.
Data Scientist
A Data Scientist analyzes, interprets, and visualizes data to derive meaningful insights and make data-driven decisions. This course provides a foundation in data visualization techniques, which are essential for effectively communicating insights to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Data Scientists.
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course provides practical experience in using data visualization tools to present data in a visually appealing and informative way. By gaining proficiency in data visualization techniques, learners can effectively communicate insights to stakeholders and make data-driven recommendations.
Business Analyst
Business Analysts use data to identify business problems and opportunities. This course provides a foundation in data visualization techniques, which are crucial for effectively communicating findings to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Business Analysts.
Market Research Analyst
Market Research Analysts conduct surveys, collect data, and analyze market trends to understand consumer behavior. This course provides a foundation in data visualization techniques, which are essential for effectively presenting research findings to clients and stakeholders. By learning how to create visually appealing and informative charts and graphs, learners can enhance their ability to communicate insights and make data-driven recommendations.
Financial Analyst
Financial Analysts use data to evaluate investments and make financial decisions. This course provides a foundation in data visualization techniques, which are essential for effectively communicating financial data to clients and stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Financial Analysts.
Product Manager
Product Managers oversee the development and launch of new products. This course provides a foundation in data visualization techniques, which are crucial for effectively communicating product data to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Product Managers.
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. This course provides a foundation in data visualization techniques, which are essential for effectively analyzing marketing data and measuring campaign performance. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Marketing Managers.
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency and effectiveness of business processes. This course provides a foundation in data visualization techniques, which are essential for effectively communicating analysis results to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Operations Research Analysts.
Statistician
Statisticians collect, analyze, and interpret data to draw meaningful conclusions. This course provides a foundation in data visualization techniques, which are essential for effectively communicating statistical findings to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Statisticians.
Information Architect
Information Architects design and organize website and software applications to make them easy to use. This course provides a foundation in data visualization techniques, which are essential for effectively communicating information architecture concepts to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by Information Architects.
User Experience Designer
User Experience Designers create user-centered designs for websites and software applications. This course provides a foundation in data visualization techniques, which are essential for effectively communicating user experience research findings to stakeholders. By learning how to create interactive dashboards and visualizations, learners can enhance their ability to present data in a clear and compelling manner, a skill highly valued by User Experience Designers.
Web Developer
Web Developers design and develop websites and software applications. This course may be useful for Web Developers who want to learn how to use data visualization techniques to enhance the user experience of their websites and applications. By learning how to create interactive dashboards and visualizations, learners can improve the usability and engagement of their websites and applications.
Graphic designer
Graphic Designers create visual concepts for websites, software applications, and other media. This course may be useful for Graphic Designers who want to learn how to use data visualization techniques to create more effective visual designs. By learning how to present data in a clear and engaging manner, learners can enhance the impact of their designs.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers who want to learn how to use data visualization techniques to improve the usability and functionality of their software applications. By learning how to create interactive dashboards and visualizations, learners can enhance the user experience and make their software applications more valuable to users.

Reading list

We've selected 12 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 Data Visualization and Representation.
This classic work on data visualization explores the principles of effective graphical communication. It provides a deep understanding of how to design charts, graphs, and other data visualizations that are both informative and visually appealing.
Provides a comprehensive overview of data visualization techniques and principles. It covers topics such as data exploration, visual perception, and storytelling with data. It valuable resource for both beginners and experienced data visualization practitioners.
Provides a comprehensive guide to using Python for data analysis. It covers all aspects of data analysis, from data exploration to model building.
Provides a comprehensive guide to using R for data science. It covers all aspects of data science, from data exploration to model building.
Provides a comprehensive guide to deep learning with Python. It covers all aspects of deep learning, from the basics to the latest advances.
His book provides a practical guide to designing effective information dashboards. It covers topics such as dashboard design principles, data visualization best practices, and how to use dashboards to communicate data insights.
Provides a comprehensive guide to statistics for data science. It covers all aspects of statistics, from descriptive statistics to inferential statistics.
Provides a comprehensive guide to using machine learning for data science. It covers all aspects of machine learning, from data preparation to model evaluation.
Provides a comprehensive guide to deep learning. It covers all aspects of deep learning, from the basics to the latest advances.
Provides a gentle introduction to data analytics for beginners. It covers the basics of data analytics, including how to collect, clean, and analyze data.

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