Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.
Data Visualization
Data Visualization
This course is part of Data Mining Specialization
Taught in English
Some content may not be translated
Instructor: John C. Hart
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Gain insight into a topic and learn the fundamentals
4.5
(1,361 reviews)
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96%
15 hours (approximately)
Flexible schedule
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Prepare for a degree
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 quizzes
Course
Gain insight into a topic and learn the fundamentals
4.5
(1,361 reviews)
|
96%
15 hours (approximately)
Flexible schedule
Learn at your own pace
Prepare for a degree
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
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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- Gain a foundational understanding of a subject or tool
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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.
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 quiz1 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 quiz1 plugin
Instructor
Instructor ratings
4.7 (112 ratings)
Recommended if you're interested in Data Analysis
University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign
University of Illinois at Urbana-Champaign
Prepare for a degree
Taking this course by University of Illinois at 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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Frequently asked questions
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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