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.
Overview
Syllabus
Introduction
- Introduction to R
- What you should know
- RStudio
- 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
- 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
- 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
- Next steps
Taught by
Megan Silvey
