About this Specialization

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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. Courses 2 - 5 of this Specialization form the lecture component of courses in the online Master of Computer Science Degree in Data Science. You can apply to the degree program either before or after you begin the Specialization.
Learner Career Outcomes
50%
Started a new career after completing this specialization.
33%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 8 months to complete
Suggested 4 hours/week
English
Subtitles: English, Korean, Chinese (Simplified)
Learner Career Outcomes
50%
Started a new career after completing this specialization.
33%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 8 months to complete
Suggested 4 hours/week
English
Subtitles: English, Korean, Chinese (Simplified)

There are 6 Courses in this Specialization

Course1

Course 1

Data Visualization

4.5
stars
1,013 ratings
239 reviews
Course2

Course 2

Text Retrieval and Search Engines

4.5
stars
704 ratings
152 reviews
Course3

Course 3

Text Mining and Analytics

4.5
stars
539 ratings
119 reviews
Course4

Course 4

Pattern Discovery in Data Mining

4.3
stars
263 ratings
51 reviews

Offered by

University of Illinois at Urbana-Champaign logo

University of Illinois at Urbana-Champaign

Start working towards your Master's degree

This specialization is part of the 100% online Master in Computer Science from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

Frequently Asked Questions

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • 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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • Time to completion can vary widely based on your schedule. Most learners are able to complete the Specialization in 4-5 months.

  • Each course in the Specialization is offered on a regular schedule with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.

  • Comfortable with computer programming in multiple programming languages

    Basic knowledge of probability and statistics

  • It is recommended that the courses in the Specialization be taken in the order outlined. In the Capstone Project, you will have the opportunity to synthesize your learning in all the courses and apply your combined skills in a final project.

  • MCS courses in Coursera do not carry University of Illinois credit on their own. Each course has an enhanced for-credit component. You can earn academic credit if you combine an MCS Coursera course with the enhanced for-credit component offered on the University of Illinois platform. Some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • At completion of this Specialization in Data Mining, you will (1) know the basic concepts in pattern discovery and clustering in data mining, information retrieval, text analytics, and visualization, (2) understand the major algorithms for mining both structured and unstructured text data, and (3) be able to apply the learned algorithms to solve real-world data mining problems.

More questions? Visit the Learner Help Center.