Machine Learning for Digital Customer Insights: How to Perform Predictive Analytics and Deploy to Interactive Dashboards (Synchronous E-Learning)

About This Course

At the end of the 2-day module, participants will be able to:
• Gain a basic understanding of supervised machine learning predictive analytics which encompasses core concepts, application examples, and demonstrations
• Understand the setup, features and basic functions of computational progamming software R and R Studio
• Demonstrate and practice descriptive analytics by employing data exploration (using R) and ggplot2 visualisation on customer attrition data
• Demonstrate and practice predictive analytics by employing supervised machine learning using R on customer attrition data
• Gain a basic understanding of how unsupervised machine learning can be used to perform customer clustering and market segmentation analysis
• Learn how to create an interactive dashboard with Shiny
• Demonstrate and perform customer segmentation analysis using R and Shiny