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University of Colorado Boulder - Data Mining Methods 

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Data Mining Methods
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Coursera 
Overview

Duration

22 hours

Start from

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Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Data Mining Methods
 at 
Coursera 
Highlights

  • Reset deadlines in accordance to your schedule.
  • Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • data science professionals or domain experts, some experience working with data, successful completion of Data Mining Pipeline
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Data Mining Methods
 at 
Coursera 
Course details

Skills you will learn
More about this 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
 at 
Coursera 
Curriculum

Frequent Pattern Analysis

Introduction, Apriori Algorithm

FP-growth Algorithm, Association, Correlation

Classification

Decision Tree Induction, Bayesian Classification

Support Vector Machines, Neural Network, Ensemble, Evaluation

Clustering

Partitioning, Hierarchical, Grid-based, and Density-based Clustering

Probabilistic, High-dimensional, Bi-clustering, Graph, Constraint-based Cluste

Outlier Analysis

Types of Outliers, Outlier Detection Methods

Mining Complex Data, Research Frontiers of Data Mining

Data Mining Methods
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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