This course is part of the Data Mining Specialization

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1,325 ratings

John C. Hart

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Associated with the Master of Computer Science degree
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Data Mining SpecializationUniversity of Illinois at Urbana-Champaign

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

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Coursera Labs

Includes hands on learning projects.

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Course 1 of 6 in the

Data Mining Specialization

Approx. 15 hours to complete

English

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Skills you will gain

Data Visualization Software
Tableau Software
Data Virtualization
Data Visualization (DataViz)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 6 in the

Data Mining Specialization

Approx. 15 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.75/5 (105 Ratings)

John C. Hart

Professor of Computer Science

Department of Computer Science

128,572 Learners

9 Courses

Offered by

University of Illinois at Urbana-Champaign

Start working towards your Master's degree

This course is related to the 100% online Master of Computer Science from University of Illinois at Urbana-Champaign. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

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Syllabus - What you will learn from this course

Content Rating96%(7,921 ratings)

Week1

Week 1

2 hours to complete

Course Orientation

2 hours to complete

6 readings

4 hours to complete

Week 1: The Computer and the Human

4 hours to complete

15 videos (Total 130 min), 2 readings, 1 quiz

15 videos

Week 1 Introduction11m1.1.1. Some Books on Data Visualization3m1.1.2. Overview of Visualization11m1.2.1. 2-D Graphics10mSVG-example1m1.2.2. 2-D Drawing9m1.2.3. 3-D Graphics9m1.2.4. Photorealism9m1.2.5. Non-Photorealism5m1.3.1. The Human10m1.3.2. Memory12m1.3.3. Reasoning7m1.3.4. The Human Retina9m1.3.5. Perceiving Two Dimensions8m1.3.6. Perceiving Perspective8m

2 readings

Week 1 Overview10mHow the Programming Assignments Work10m

1 practice exercise

Week 1 Quiz30m

Week2

Week 2

4 hours to complete

Week 2: Visualization of Numerical Data

4 hours to complete

11 videos (Total 85 min), 3 readings, 1 quiz

Week3

Week 3

4 hours to complete

Week 3: Visualization of Non-Numerical Data

4 hours to complete

8 videos (Total 72 min), 3 readings, 1 quiz

Week4

Week 4

2 hours to complete

Week 4: The Visualization Dashboard

2 hours to complete

9 videos (Total 73 min), 1 reading, 1 quiz

9 videos

Week 4 Introduction55s4.1.1. Visualization Systems3m4.1.2. The Information Visualization Mantra: Part 19m4.1.2. The Information Visualization Mantra: Part 29m4.1.2. The Information Visualization Mantra: Part 35m4.1.3. Database Visualization Part: 112m4.1.3. Database Visualization Part: 28m4.1.3. Database Visualization Part: 39m4.2.1. Visualization System Design14m

1 reading

Week 4 Overview10m

1 practice exercise

Week 4 Quiz30m

Reviews

4.5

301 reviews

5 stars
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4 stars
24.73%
3 stars
6.25%
2 stars
2.48%
1 star
1.88%

TOP REVIEWS FROM DATA VISUALIZATION

by VCApr 26, 2020

I enjoyed a great deal of this course. However, I felt that the course could be improved by adding in a few programming implementations of visualization. Thank you for teaching this subject!

by GCNov 16, 2020

Very useful course. It enlightens my ways to data visualization. I knew some concepts, but in a disorganized way and not knowing how. This course fills these gaps. It is tremendously helpful.

by SMDec 14, 2016

One of the excellent courses I have ever studied. Professor style of teaching is very soft and simple, point to point and very clear. I have given 100 out 100 marks.

by CYNov 26, 2017

Really like this course which leads me to Tableau. After the course, I take about 8 hours to learn Tableau and I think my ability of data visualization ballooned.

View all reviews

About the Data Mining Specialization

The Data Mining Specialization teaches data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Data Visualization

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