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.
This course is part of the Data Mining Foundations and Practice Specialization

About this Course
data science professionals or domain experts, some experience working with data, successful completion of Data Mining Pipeline
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
data science professionals or domain experts, some experience working with data, successful completion of Data Mining Pipeline
Offered by
Start working towards your Master's degree
Syllabus - What you will learn from this course
Frequent Pattern Analysis
Classification
Clustering
Outlier Analysis
About the Data Mining Foundations and Practice Specialization

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