University of Colorado Boulder
Data Mining Foundations and Practice Specialization
University of Colorado Boulder

Data Mining Foundations and Practice Specialization

Launch Your Career in Data Science. Master core data mining concepts, techniques, and hands-on skills.

Taught in English

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Qin (Christine) Lv

Instructor: Qin (Christine) Lv

3,136 already enrolled

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Specialization - 3 course series

Get in-depth knowledge of a subject

3.8

(28 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace
Progress towards a degree

What you'll learn

  • Data mining pipeline: data understanding, preprocessing, warehousing

  • Data mining methods: frequent patterns, classification, clustering, outliers

  • Data mining project: project formulation, design, implementation, reporting

Details to know

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Specialization - 3 course series

Get in-depth knowledge of a subject

3.8

(28 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace
Progress towards a degree

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Colorado Boulder
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Specialization - 3 course series

Data Mining Pipeline

Course 121 hours3.3 (43 ratings)

What you'll learn

  • Identify the key components of the data mining pipeline and describe how they're related.

  • Identify particular challenges presented by each component of the data mining pipeline.

  • Apply techniques to address challenges in each component of the data mining pipeline.

Skills you'll gain

Category: Data Pre-Processing
Category: Data Warehousing
Category: data understanding
Category: data mining pipeline

Data Mining Methods

Course 224 hours3.9 (17 ratings)

What you'll 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'll gain

Category: outlier analysis
Category: classification
Category: model evaluation
Category: frequent pattern analysis
Category: clustering

Data Mining Project

Course 319 hours

What you'll learn

  • Identify the key components of and propose a real-world data mining project.

  • Design and develop real-world solutions across the full data mining pipeline.

  • Summarize and present the key findings of the data mining project.

  • Analyze the overall project process and identify possible improvements. 

Skills you'll gain

Category: data mining project design and development
Category: data mining project process analysis and improvement
Category: data mining project summary and presentation
Category: data mining project formulation

Instructor

Qin (Christine) Lv
University of Colorado Boulder
3 Courses9,018 learners

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