About this Course
4.6
21 ratings
5 reviews
Specialization

Course 6 of 6 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 17 hours to complete

Suggested: 3 hours/week...
Available languages

English

Subtitles: English

Skills you will gain

Data Clustering AlgorithmsData AnalysisNatural Language ProcessingData Mining
Specialization

Course 6 of 6 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 17 hours to complete

Suggested: 3 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 hours to complete

Orientation

In this module, you will become familiar with the course, your instructor, your classmates, and our learning environment....
Reading
1 video (Total 13 min), 6 readings
Reading6 readings
Orientation Overview10m
Syllabus10m
About the Discussion Forums10m
Updating Your Profile10m
MeTA Installation and Overview10m
Data Set and Toolkit Acquisition10m
Hours to complete
2 hours to complete

Task 1 - Exploration of a Data Set

...
Reading
2 readings, 1 quiz
Reading2 readings
Task 1 Overview10m
Task 1 Rubric10m
Week
2
Hours to complete
2 hours to complete

Task 2 - Cuisine Clustering and Map Construction

...
Reading
2 readings, 1 quiz
Reading2 readings
Task 2 Overview10m
Task 2 Rubric10m
Week
3
Hours to complete
2 hours to complete

Task 3 - Dish Recognition

...
Reading
2 readings, 1 quiz
Reading2 readings
Task 3 Overview10m
Task 3 Rubric10m
Week
4
Hours to complete
2 hours to complete

Task 4 & 5 - Popular Dishes and Restaurant Recommendation

...
Reading
2 readings, 1 quiz
Reading2 readings
Task 4 and 5 Overview10m
Task 4 and 5 Rubric10m
4.6
5 ReviewsChevron Right

Top Reviews

By IANov 16th 2017

The project help me to practice the whole specialization algorithms and techniques.

Instructors

Avatar

Jiawei Han

Abel Bliss Professor
Department of Computer Science
Avatar

ChengXiang Zhai

Professor
Department of Computer Science
Avatar

John C. Hart

Professor of Computer Science
Department of Computer Science
Graduation Cap

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.

About University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...

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.

More questions? Visit the Learner Help Center.