This course will teach you how to make more effective visualizations of data. Not only will you gain deeper insight into the data, but you will also learn how to better communicate that insight to others. You will learn new ways to display data, applying some fundamental principles of design and human cognition to choose the most effective way to display different kinds of data. This course not only teaches you how to use popular applications like Tableau to connect to data warehouses to extract and visualize relevant data, but also teaches you how Tableau works so you can use the same techniques to make effective data visualizations on your own with any visualization system.
Data Visualization
Data Visualization
This course is part of Data Mining Specialization
Instructor: John C. Hart
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4.5
(1,379 reviews)
Flexible schedule
Approx. 15 hours
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Assessments
3 assignments
Taught in English
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This course is part of the Data Mining Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
What's included
6 readings1 assignment
In this week's module, you will learn what data visualization is, how it's used, and how computers display information. You'll also explore different types of visualization and how humans perceive information.
What's included
15 videos2 readings1 assignment1 discussion prompt
In this week's module, you will start to think about how to visualize data effectively. This will include assigning data to appropriate chart elements, using glyphs, parallel coordinates, and streamgraphs, as well as implementing principles of design and color to make your visualizations more engaging and effective.
What's included
11 videos3 readings1 peer review1 discussion prompt
In this week's module, you will learn how to visualize graphs that depict relationships between data items. You'll also plot data using coordinates that are not specifically provided by the data set.
What's included
8 videos3 readings1 peer review1 discussion prompt
In this week's module, you will start to put together everything you've learned by designing your own visualization system for large datasets and dashboards. You'll create and interpret the visualization you created from your data set, and you'll also apply techniques from user-interface design to create an effective visualization system.
What's included
9 videos1 reading1 assignment1 plugin
Instructor
Instructor ratings
4.7 (118 ratings)Offered by
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Taking this course by University of Illinois Urbana-Champaign may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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Learner reviews
4.5
1,379 reviews
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Showing 3 of 1379
PK
4
Reviewed on Sep 2, 2021
It encourage learner to explore more about data visualization while providing examples and programs to finished the course. However, I found it's quite theoretical and short.
AN
5
Reviewed on Apr 23, 2022
Excellent introduction to data visualization. The lectures are interesting and high quality. I used D3.js to try different approaches, which was a bit time consuming but interesting.
AJ
5
Reviewed on Aug 9, 2016
Excellent opportunity to understand Data Visualization. I loved the home work given in the course, very unique and creative. Lot's of scope to cultivate an idea.
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Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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