Data Mining Pipeline

Qin (Christine) Lv

Offered By

Part of the Master of Science in Data Science degree

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Data Mining Pipeline

University of Colorado Boulder

About this Course

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This course introduces the key steps involved in the data mining pipeline, including data understanding, data preprocessing, data warehousing, data modeling, interpretation and evaluation, and real-world applications.
Data Mining Pipeline 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.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

data science professionals or domain experts, some experience working with data

Approx. 21 hours to complete

English

Subtitles: English

What you will learn

By the end of this course, you will be able to identify the key components of the data mining pipeline and describe how they're related.

You will be able to identify particular challenges presented by each component of the data mining pipeline.

You will be able to apply techniques to address challenges in each component of the data mining pipeline.

Skills you will gain

Data Pre-ProcessingData Warehousingdata understandingdata mining pipeline

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

data science professionals or domain experts, some experience working with data

Approx. 21 hours to complete

English

Subtitles: English

Instructor

Qin (Christine) Lv

Associate Professor

Computer Science

137 Learners

1 Course

Offered by

University of Colorado Boulder

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

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Syllabus - What you will learn from this course

Week

Week 1

5 hours to complete

Data Mining Pipeline

This module provides an introduction to data mining and data mining pipeline, including the four views of data mining and the key components in the data mining pipeline.

5 hours to complete

2 videos (Total 88 min), 1 reading, 2 quizzes

Week

Week 2

5 hours to complete

Data Understanding

This module covers data understanding by identifying key data properties and applying techniques to characterize different datasets.

5 hours to complete

2 videos (Total 71 min)

Week

Week 3

5 hours to complete

Data Preprocessing

This module explains why data preprocessing is needed and what techniques can be used to preprocess data.

5 hours to complete

2 videos (Total 77 min)

Week

Week 4

5 hours to complete

Data Warehousing

This module covers the key characteristics of data warehousing and the techniques to support data warehousing.

5 hours to complete

2 videos (Total 54 min)

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 purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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, 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. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Data Mining Pipeline

Data Mining Pipeline