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Cluster Analysis in Data Mining

Cluster Analysis in Data Mining

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.

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  • 17 ساعات
  • الإنجليزية
الاشتراك الشهري
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  • الباقة الإبتدائية @ AED 99 + VAT
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  • AED 274.99 + VAT
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Business Analytics for Decision Making

Business Analytics for Decision Making

In this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that will help you model the uncertainty that is prevalent in many business decisions. A key element of decision making is to identify the best course of action. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option.

  • Course by
  • Self Paced
  • 9 ساعات
  • الإنجليزية
الاشتراك الشهري
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  • الباقة الإبتدائية @ AED 99 + VAT
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  • AED 274.99 + VAT
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Cluster Analysis, Association Mining, and Model Evaluation

Cluster Analysis, Association Mining, and Model Evaluation

Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will begin with an exploration of cluster analysis and segmentation, and discuss how techniques such as collaborative filtering and association rules mining can be applied. We will also explain how a model can be evaluated for performance, and review the differences in analysis types and when to apply them.

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  • Self Paced
  • 4 ساعات
  • الإنجليزية
الاشتراك الشهري
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  • الباقة الإبتدائية @ AED 99 + VAT
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Cluster Analysis using RCmdr

Cluster Analysis using RCmdr

In this 1-hour long project-based course, we will show you how to do cluster analysis using RCmdr using the k means method and Hierarchical method. This project uses data about 29 cars and has 22 dimensions such as price , acceleration and we will use these methods to cluster groups .
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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  • Self Paced
  • 3 ساعات
  • الإنجليزية
الاشتراك الشهري
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  • الباقة الإبتدائية @ AED 99 + VAT
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  • Free
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Survey analysis to Gain Marketing Insights

Survey analysis to Gain Marketing Insights

How do consumers see your brand relative to your competitors? How should a new product be positioned when it’s launched? Which customer segments are most interested in our current offerings? For these questions and many others, surveys remain the tried and true method for gaining marketing insights. From one-off customer satisfaction surveys to brand tracking surveys that are administered on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.

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  • Self Paced
  • 6 ساعات
  • الإنجليزية
الاشتراك الشهري
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  • الباقة الإبتدائية @ AED 99 + VAT
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