About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

data science professionals or domain experts, some experience working with data, successful completion of Data Mining Pipeline

Approx. 22 hours to complete
English

What you will learn

  • 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.

Skills you will gain

  • outlier analysis
  • clustering
  • classification
  • model evaluation
  • frequent pattern analysis
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

data science professionals or domain experts, some experience working with data, successful completion of Data Mining Pipeline

Approx. 22 hours to complete
English

Offered by

Placeholder

University of Colorado Boulder

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.

Syllabus - What you will learn from this course

Week1
Week 1
6 hours to complete

Frequent Pattern Analysis

6 hours to complete
2 videos (Total 94 min), 2 readings, 1 quiz
Week2
Week 2
6 hours to complete

Classification

6 hours to complete
2 videos (Total 106 min)
Week3
Week 3
6 hours to complete

Clustering

6 hours to complete
2 videos (Total 105 min), 1 reading, 1 quiz
Week4
Week 4
5 hours to complete

Outlier Analysis

5 hours to complete
2 videos (Total 108 min)

About the Data Mining Foundations and Practice Specialization

Data Mining Foundations and Practice

Frequently Asked Questions

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