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Complete Your First Project in R

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Overview

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This course will provide a life-like application R programmers can utilize to enhance their learning along with providing them a project they can add to their coding portfolios.

Syllabus

Introduction
  • Introduction to R
  • What you should know
  • RStudio
1. Exploring Customer Data
  • Introducing Red30 Tech
  • Understanding Red30 Tech data
  • How to perform basic descriptive analysis
  • How to find top customers
  • How to better understand customers
  • How to analyze sales employees
  • How to determine the best product category
  • Challenge: Customer longevity analysis
  • Solution: Customer longevity analysis
2. Classification Analysis
  • Understanding classification analysis
  • How to prepare data for classification
  • How to run a decision tree algorithm
  • How to run a random forest algorithm
  • How to run a support vector machine algorithm
  • Understanding summary metrics
  • How to decide which algorithm is best
  • How to improve the chosen algorithm
  • Challenge: Explore the chosen algorithm
  • Solution: Explore the chosen algorithm
3. Cluster Analysis
  • Understanding cluster analysis
  • How to prepare data for clustering
  • How to run a k-means algorithm
  • How to run a hierarchical clustering algorithm
  • How to run a GMM clustering algorithm
  • Evaluating cluster results
  • Challenge: Clustering late payment customers
  • Solution: Clustering late payment customers
Conclusion
  • Next steps

Taught by

Megan Silvey

Reviews

4.9 rating at LinkedIn Learning based on 27 ratings

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