Customer Analytics with R
About This Course
Customer analytics is the process of capturing and leveraging customer data analysis to identify, attract, grow, and retain customers. This course will help participants understand the customer lifecycle from acquisition to retention and gain insights from the data. Nowadays, computers and software can gather all types of customer data and convert it into valuable insights for actionable strategies. In this course, we will analyse numerous case examples of customer data using the R-Programming Language, including calculating customer lifetime value and latency, Recency, Frequency and Monetary(RFM) analysis, propensity modelling, market basket analysis, k-means clustering, and hierarchical clustering, to equip participants with practical skills.
What You'll Learn
2. Design similar customers into segments to implement a more targeted marketing strategy.
3. Identify when to promote to your customers.
4. Investigate which products are bought frequently together.
5. Design recommendations based on the customer analysis outcome.
Entry Requirements
Achieve a minimum NUS GPA of 2.50 for the Executive Certificate in Foundation in Data Analytics for the Maritime Industry"