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Enrico Bertini and Cristian Felix
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,...
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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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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
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.
"G​reat 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
Understand the foundational concepts of data visualization as outlined by one of the pioneers of the field.
Show steps
  • 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
Accelerate learning and gain insights from mentors with practical experience in data visualization.
Show steps
  • Identify potential mentors through networking events or online platforms.
  • Reach out to mentors and request their guidance.
Interactive online exercises
Apply the visualization techniques learned in the course through interactive online exercises.
Browse courses on Visualization Techniques
Show steps
  • Complete the interactive exercises provided in the course materials.
  • Explore additional interactive exercises from reputable sources.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore advanced visualization techniques
Expand knowledge of data visualization techniques beyond the scope of the course through guided tutorials.
Show steps
  • 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
Engage with experts and learn practical skills through hands-on data visualization workshops.
Browse courses on Data Storytelling
Show steps
  • 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
Demonstrate deep understanding by creating an innovative visualization that solves a real-world data communication problem.
Browse courses on D3.js
Show steps
  • 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
Gain valuable experience and showcase skills by participating in data visualization competitions.
Browse courses on Kaggle Competitions
Show steps
  • 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
Provides a comprehensive overview of the field of information visualization, covering the history, theory, design, and evaluation of information visualizations. It classic text in the field and is widely used as a textbook in academic institutions.
Guide to designing effective information dashboards. It covers the principles of visual design, the different types of data visualizations, and how to use data visualization to communicate effectively.
Guide to creating effective data visualizations that communicate clearly and accurately. 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.
Collection of essays on the art and science of data visualization. It great resource for anyone who wants to learn more about the history, theory, and practice of data visualization.
Comprehensive overview of information graphics, covering the history, theory, design, and evaluation of information graphics. It classic text in the field and is widely used as a textbook in academic institutions.
Collection of beautiful and informative data visualizations. It great source of inspiration for anyone who wants to learn more about data visualization.
Practical guide to designing effective data visualizations. 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 great resource for anyone who wants to learn more about data visualization.
Gentle introduction to data visualization. It covers the basics of visual design, the different types of data visualizations, and how to choose the right visualization for the data you have. It good choice for beginners who want to learn more about data visualization.
Gentle introduction to data visualization. It covers the basics of visual design, the different types of data visualizations, and how to choose the right visualization for the data you have. It good choice for beginners who want to learn more about data visualization.
Comprehensive guide to using Tableau, a popular data visualization software. It covers the basics of Tableau, how to create different types of visualizations, and how to use Tableau to analyze data. It great resource for anyone who wants to learn more about Tableau.
Comprehensive guide to using Tableau, a popular data visualization software. It covers the basics of Tableau, how to create different types of visualizations, and how to use Tableau to analyze data. It great resource for anyone who wants to learn more about Tableau.
Practical guide to using D3.js, a popular JavaScript library for data visualization. It covers the basics of D3.js, how to create different types of visualizations, and how to use D3.js to analyze data. It great resource for anyone who wants to learn more about D3.js.

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