Complete Your First Project in R

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.

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