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Information Visualization

Advanced Techniques

This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered in Information Visualization: Fundamentals. These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. In this module we also teach learners how to develop innovative techniques in D3.js. Learning Goals Goal: Analyze the design space of visualization solutions for various kinds of data visualization problems. Learn what designs are available for a given problem and what are their respective advantages and disadvantages. - Temporal - Spatial - Spatio-Temporal - Networks - Trees - Text This is the fourth course in the Information Visualization Specialization. The course expects you to have some basic knowledge of programming as well as some basic visualization skills (as those introduced in the first course of the specialization).

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Covers a wide range of visualization techniques for specialized data types like temporal, spatial, network, and text

Incorporates hands-on labs and interactive materials for practical application of these techniques

Taught by Enrico Bertini and Cristian Felix, recognized experts in visualization design

Designed for learners with basic programming and visualization knowledge

Requires familiarity with D3.js for hands-on exercises

Part of the Information Visualization Specialization, suggesting a sequence of courses

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Reviews summary

Highly rated advanced visualization techniques

This advanced visualization techniques course has been highly recommended by most students. The course has been praised for having well-produced videos, interesting readings, thought-provoking questions, and good assignments. The course is considered valuable for students interested in diving deeper into data visualizations.

Course has good assignments.

"Great course, good content, and good assignments to top it all off."

Valuable course content.

"Great Course! I loved the short but full of quality videos..."

Course has an excellent and experienced instructor.

"This is a GREAT course. Highly recommended, along with the other courses from this specialization. Enrico Bertini is one of the best teachers I have ever learned from."

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 Information Visualization: Advanced Techniques with these activities:

Review Bertin’s Semiology of Graphics

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Understand the foundational concepts of data visualization as outlined by one of the pioneers of the field.

View Semiology of Graphics: Diagrams, Networks, Maps on Amazon

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Read through the entire text and take notes.
Create a mind map or summary of the key concepts.
Identify examples of how the concepts are applied in real-world data visualizations.

Seek guidance from experienced professionals

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Accelerate learning and gain insights from mentors with practical experience in data visualization.

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Identify potential mentors through networking events or online platforms.
Reach out to mentors and request their guidance.

Interactive online exercises

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Apply the visualization techniques learned in the course through interactive online exercises.

Browse courses on Visualization Techniques

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Complete the interactive exercises provided in the course materials.
Explore additional interactive exercises from reputable sources.

Four other activities

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Explore advanced visualization techniques

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Expand knowledge of data visualization techniques beyond the scope of the course through guided tutorials.

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Identify reputable sources for advanced visualization tutorials.
Follow along with tutorials and practice implementing the techniques.
Experiment with different techniques to enhance your skills.

Attend data visualization workshops

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Engage with experts and learn practical skills through hands-on data visualization workshops.

Browse courses on Data Storytelling

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Identify and register for relevant data visualization workshops.
Actively participate in workshops and ask questions to enhance understanding.
Network with other attendees and industry professionals.

Develop an innovative visualization

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Demonstrate deep understanding by creating an innovative visualization that solves a real-world data communication problem.

Browse courses on D3.js

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Identify a data set that is both interesting and challenging to visualize.
Develop a concept for a visualization that effectively communicates the data.
Implement the visualization using D3.js or another suitable tool.
Present your visualization to peers or instructors for feedback.

Participate in data visualization competitions

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Gain valuable experience and showcase skills by participating in data visualization competitions.

Browse courses on Kaggle Competitions

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Identify relevant data visualization competitions.
Form a team or work individually to develop a visualization solution.
Submit your visualization and receive feedback from experts.

Career center

Learners who complete Information Visualization: Advanced Techniques will develop knowledge and skills that may be useful to these careers:

Data Visualization Engineer

A Data Visualization Engineer specializes in helping organizations use data to make more informed decisions. They use their knowledge of visual communication principles and programming to develop visualizations that are both informative and visually appealing. This course is a perfect fit for aspiring Data Visualization Engineers as it provides them with the advanced techniques they need to create innovative and effective data visualizations.

See salaries and explore the career path for Data Visualization Engineer

Data Analyst

Data Analysts use data to solve business problems. They are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course can help Data Analysts develop the skills they need to visualize data in a way that is easy to understand and actionable.

See salaries and explore the career path for Data Analyst

Business Intelligence Analyst

Business Intelligence Analysts use data to provide insights to businesses. They help businesses understand their customers, identify opportunities, and make better decisions. This course can help Business Intelligence Analysts develop the skills they need to visualize data in a way that is clear and concise.

See salaries and explore the career path for Business Intelligence Analyst

User Experience Designer

User Experience Designers focus on creating products and services that are easy to use and enjoyable. They use their knowledge of human behavior and design principles to create interfaces that are both functional and visually appealing. This course can help User Experience Designers develop the skills they need to create data visualizations that are both informative and engaging.

See salaries and explore the career path for User Experience Designer

Information Architect

Information Architects design and organize websites, apps, and other information systems. They use their knowledge of information architecture principles to create systems that are easy to navigate and find information. This course can help Information Architects develop the skills they need to visualize data in a way that is clear and organized.

See salaries and explore the career path for Information Architect

Web Developer

Web Developers design and develop websites and web applications. They use their knowledge of programming languages and web design principles to create websites that are both functional and visually appealing. This course can help Web Developers develop the skills they need to create data visualizations that are interactive and responsive.

See salaries and explore the career path for Web Developer

Graphic designer

Graphic Designers use their creativity and design skills to create visual concepts. They work on a variety of projects, including logos, brochures, websites, and advertisements. This course can help Graphic Designers develop the skills they need to create data visualizations that are visually appealing and communicate information effectively.

See salaries and explore the career path for Graphic designer

Marketing Analyst

Marketing Analysts use data to understand consumer behavior and develop marketing campaigns. They use their knowledge of marketing principles and data analysis techniques to identify opportunities and make better decisions. This course can help Marketing Analysts develop the skills they need to visualize data in a way that is clear and actionable.

See salaries and explore the career path for Marketing Analyst

Product Manager

Product Managers are responsible for the development and launch of new products and services. They work with engineers, designers, and marketers to bring products to market that meet the needs of customers. This course can help Product Managers develop the skills they need to visualize data in a way that is clear and concise.

See salaries and explore the career path for Product Manager

Software Engineer

Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software development principles to create software that is both functional and reliable. This course can help Software Engineers develop the skills they need to visualize data in a way that is clear and concise.

See salaries and explore the career path for Software Engineer

Statistician

Statisticians use data to solve problems and make predictions. They use their knowledge of statistical methods and data analysis techniques to identify trends and patterns. This course can help Statisticians develop the skills they need to visualize data in a way that is clear and concise.

See salaries and explore the career path for Statistician

Data Scientist

Data Scientists use data to solve business problems. They are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course can help Data Scientists develop the skills they need to visualize data in a way that is easy to understand and actionable.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models. They use their knowledge of machine learning algorithms and data analysis techniques to create models that can learn from data and make predictions. This course may be helpful for Machine Learning Engineers who want to learn how to visualize data in a way that is clear and concise.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers build and maintain data pipelines. They are responsible for collecting, cleaning, and storing data in a way that makes it accessible to analysts and other users. This course may be helpful for Data Engineers who want to learn how to visualize data in a way that is clear and concise.

See salaries and explore the career path for Data Engineer

Database Administrator

Database Administrators are responsible for the design, implementation, and maintenance of databases. They use their knowledge of database management systems and data structures to ensure that databases are reliable and performant. This course may be helpful for Database Administrators who want to learn how to visualize data in a way that is clear and concise.

See salaries and explore the career path for Database Administrator

Reading list

We've selected 14 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 Information Visualization: Advanced Techniques.

Reflections on Slope Stability Engineering

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Classic text on the visual display of quantitative information. It covers the principles of visual design, the different types of data visualizations, and how to choose the right visualization for the data you have. It must-read for anyone who wants to learn more about data visualization.

Information Visualization

Advanced Techniques

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Reviews summary

Highly rated advanced visualization techniques

Activities

Career center

Reading list

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