Cluster Analysis in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Cluster analysis is an important tool within the data science toolset. It is used to identify clusters that share similar characteristics. These similarities can be used to help you make better business decisions. It can also help you target different customers in marketing. This course will cover both hierarchical clustering and k-means clustering. These methods will teach you not only how to use them but also how to interpret their results. Three datasets will be used to develop this intuition: longitudinal occupational wage data for soccer players, wholesale customer spending data for wholesale customers, and soccer player positions.

Course Overview

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

What You Will Learn

In this course, you will learn about two commonly used clustering methods - hierarchical clustering and k-means clustering

You'll develop this intuition by exploring three different datasets: soccer player positions, wholesale customer spending data, and longitudinal occupational wage data

ou won't just learn how to use these methods, you'll build a strong intuition for how they work and how to interpret their results

Course Content

Expand all sections

Module 1: Calculating distance between observations

Module 2: Hierarchical clustering

Module 3: K-means clustering

Module 4: Case Study: National Occupational mean wage

Course Instructors

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

Dmitriy is a Lead Data Scientist in the Strategy Innovation department at Memorial Sloan Kettering Cancer Center. At MSK he develops predictive models for programs aimed at improving patient care. Pr...