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Cluster Analysis using RCmdr

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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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Discover the fundamentals of cluster analysis with the "Cluster Analysis using RCmdr" course, expertly crafted for professionals in the Big Data and Analytics domain. Guided by Coursera, this concise 1-hour project-based course delves into the k-means and Hierarchical clustering methods using the RCmdr tool. Throughout the course, you'll work with a dataset comprising 29 cars across 22 dimensions, including variables like price and acceleration, to understand and apply clustering techniques effectively. This hands-on project is ideal for professionals looking to enhance their analytical skills and gain practical experience in data clustering. Designed primarily for learners in North America, the course is currently available under the Starter subscription plan, making it accessible for those aiming to advance their proficiency in cluster analysis. Whether you're a data analyst, a business intelligence professional, or a data science enthusiast, this course offers valuable insights and practical knowledge to elevate your expertise in the field.