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Data Mining Methods

This course covers the core techniques used in data mining, including frequent pattern analysis, classification, clustering, outlier analysis, as well as min...
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(0 reviews)
0 students
Created by
Qin (Christine) Lv

7.9

Classbaze Grade®

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Freshness

N/A

Popularity

7.7

Material

Detailed Analysis »

Data Mining Methods
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Platform: Coursera
Price: check current price
Video: 6h 53m
Language: English

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Classbaze Rating

Classbaze Grade®

7.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

We analyzed factors such as the rating and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

7.7 / 10
Video Score: 8.6 / 10
The course includes 6h 53m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 49 minutes of 559 Data Analysis courses on Coursera.
Detail Score: 9.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 1.0 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 articles.
0 resource.
0 exercise.
0 tests or quizzes.

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About the course

This course covers the core techniques used in data mining, including frequent pattern analysis, classification, clustering, outlier analysis, as well as mining complex data and research frontiers in the data mining field.

Data Mining Methods can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Course logo image courtesy of Bart van Dijk, available here on Unsplash: https://unsplash.com/photos/DqGIaY0K08o

What can you learn from this course?

✓ Identify the core functionalities of data modeling in the data mining pipeline
✓ Apply techniques that can be used to accomplish the core functionalities of data modeling and explain how they work.
✓ Evaluate data modeling techniques, determine which is most suitable for a particular task, and identify potential improvements.

What you need to start the course?

Basic knowledge of Data Analysis is required to start this course, as this is an intermediate level course.

Who is this course is made for?

This course was made for intermediate-level students.

Are there coupons or discounts for Data Mining Methods ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $8.1 of 559 Data Analysis courses. So this course is 100% cheaper than the average Data Analysis course on Coursera.

Will I be refunded if I'm not satisfied with the Data Mining Methods course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Qin (Christine) Lv?

Qin (Christine) Lv has created 2 courses that got 0 reviews which are generally positive. Qin (Christine) Lv has taught 618 students and received a average review out of 0 reviews. Depending on the information available, we think that Qin (Christine) Lv is an instructor that you can trust.

Learn everything about

Qin (Christine) Lv

Associate Professor
Computer Science
University of Colorado Boulder
Qin (Christine) Lv is an Associate Professor and Co-Associate Chair for Graduate Education in the Department of Computer Science, University of Colorado Boulder. She received her PhD degree in computer science from Princeton University. Lv’s research focuses on full-stack data analytics, which integrates systems, algorithms, and applications for effective and efficient data analytics in ubiquitous computing and scientific discovery. Her research is interdisciplinary in nature and interacts closely with a wide range of scientific domains as well as many user-orientated applications. Lv has received many awards, including the SenSys 2018 Best Paper Runner-up Award, 2017 Google Faculty Research Award, and VLDB 2017 Ten Year Best Paper Award.
Qin (Christine) Lv's full profile and courses »
Go to class »

7.9

Classbaze Grade®

N/A

Freshness

N/A

Popularity

7.7

Material

Detailed Analysis »

Data Mining Methods
Go to course »
Platform: Coursera
Price: check current price
Video: 6h 53m
Language: English

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