About this Course

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Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 6 of 6 in the

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 17 hours to complete

English

Subtitles: English, Korean

Skills you will gain

Data Clustering AlgorithmsData AnalysisNatural Language ProcessingData Mining

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 6 of 6 in the

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 17 hours to complete

English

Subtitles: English, Korean

Offered by

University of Illinois at Urbana-Champaign logo

University of Illinois at Urbana-Champaign

Start working towards your Master's degree

This course 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.

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Orientation

2 hours to complete
1 video (Total 13 min), 6 readings
6 readings
Orientation Overview10m
Syllabus10m
About the Discussion Forums10m
Updating Your Profile10m
MeTA Installation and Overview10m
Data Set and Toolkit Acquisition10m
2 hours to complete

Task 1 - Exploration of a Data Set

2 hours to complete
2 readings
2 readings
Task 1 Overview10m
Task 1 Rubric10m
Week
2

Week 2

2 hours to complete

Task 2 - Cuisine Clustering and Map Construction

2 hours to complete
2 readings
2 readings
Task 2 Overview10m
Task 2 Rubric10m
Week
3

Week 3

2 hours to complete

Task 3 - Dish Recognition

2 hours to complete
2 readings
2 readings
Task 3 Overview10m
Task 3 Rubric10m
Week
4

Week 4

2 hours to complete

Task 4 & 5 - Popular Dishes and Restaurant Recommendation

2 hours to complete
2 readings
2 readings
Task 4 and 5 Overview10m
Task 4 and 5 Rubric10m

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. 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....
Data Mining

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

  • 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, 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.

More questions? Visit the Learner Help Center.