Outlier Detection in Data Mining, Data Science, Machine Learning, Data Analysis and Statistics using PYTHON,R and SAS
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
This course brings you both theoretical and practical knowledge, starting with basic and advancing to more complex outlier algorithms
You can hone your programming skills because all algorithms you’ll learn have implementation in PYTHON, R and SAS
This comprehensive Outlier Detection Algorithms in Data Mining and Data Science curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Outlier Detection Algorithms in Data Mining and Data Science course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
KDD Expert
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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